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by Chin-Diew Lai, Min Xie
出版情報: New York, NY : Springer Science+Business Media, Inc., 2006
オンライン: http://dx.doi.org/10.1007/0-387-34232-X
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by Estela Bee Dagum, Pierre A. Cholette
出版情報: New York, NY : Springer Science+Business Media, LLC, 2006
シリーズ名: Lecture Notes in Statistics ; 186
オンライン: http://dx.doi.org/10.1007/0-387-35439-5
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by John Hoek, Robert J. Elliott
出版情報: New York, NY : Springer Science+Business Media, Inc., 2006
シリーズ名: Springer Finance ;
オンライン: http://dx.doi.org/10.1007/0-387-31607-8
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by Pascal Ardilly, Yves Tillé
出版情報: New York, NY : Springer Science+Business Media, Inc., 2006
オンライン: http://dx.doi.org/10.1007/0-387-31075-4
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5.

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by Eric Zivot, Jiahui Wang
出版情報: New York, NY : Springer Science+Business Media, Inc., 2006
オンライン: http://dx.doi.org/10.1007/0-387-32348-1
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6.

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edited by Hrishikesh D. Vinod
出版情報: New York, NY : Springer-Verlag New York, 2010
シリーズ名: Lecture Notes in Statistics ; 196
オンライン: http://dx.doi.org/10.1007/978-1-4419-1764-5
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edited by Piotr Jaworski, Fabrizio Durante, Wolfgang Karl Härdle, Tomasz Rychlik
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010
シリーズ名: Lecture Notes in Statistics ; 198
オンライン: http://dx.doi.org/10.1007/978-3-642-12465-5
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8.

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by Pavel V. Shevchenko
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2011
オンライン: http://dx.doi.org/10.1007/978-3-642-15923-7
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9.

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edited by Miodrag Lovric
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2011
オンライン: http://dx.doi.org/10.1007/978-3-642-04898-2
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10.

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by David Ruppert
出版情報: New York, NY : Springer Science+Business Media, LLC, 2011
シリーズ名: Springer Texts in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-1-4419-7787-8
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11.

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by Jürgen Franke, Wolfgang Karl Härdle, Christian Matthias Hafner
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2011
シリーズ名: Universitext ;
オンライン: http://dx.doi.org/10.1007/978-3-642-16521-4
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12.

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edited by Pavel Cizek, Wolfgang Karl Härdle, Rafal Weron
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2011
オンライン: http://dx.doi.org/10.1007/978-3-642-18062-0
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13.

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by Birger Madsen
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2011
オンライン: http://dx.doi.org/10.1007/978-3-642-17656-2
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14.

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by Jörg Drechsler
出版情報: New York, NY : Springer Science+Business Media, LLC, 2011
シリーズ名: Lecture Notes in Statistics ; 201
オンライン: http://dx.doi.org/10.1007/978-1-4614-0326-5
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15.

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by Thomas Quirk
出版情報: New York, NY : Springer Science+Business Media, LLC, 2011
オンライン: http://dx.doi.org/10.1007/978-1-4419-9934-4
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16.

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by Pierre-André Cornillon, Eric Matzner-Løber
出版情報: Paris : Springer-Verlag France S.A.R.L., 2011
シリーズ名: Collection Pratique R ;
オンライン: http://dx.doi.org/10.1007/978-2-8178-0184-1
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17.

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by Christian P. Robert, George Casella
出版情報: Paris : Springer-Verlag France S.A.R.L., 2011
シリーズ名: Collection Pratique R ;
オンライン: http://dx.doi.org/10.1007/978-2-8178-0181-0
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18.

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by Wolfgang Jank
出版情報: New York, NY : Springer Science+Business Media, LLC, 2011
シリーズ名: Use R ;
オンライン: http://dx.doi.org/10.1007/978-1-4614-0406-4
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19.

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by Cynthia Fraser
出版情報: Boston, MA : Springer US, 2012
オンライン: http://dx.doi.org/10.1007/978-1-4419-9857-6
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20.

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by Lajos Horváth, Piotr Kokoszka
出版情報: New York, NY : Springer New York, 2012
シリーズ名: Springer Series in Statistics ; 200
オンライン: http://dx.doi.org/10.1007/978-1-4614-3655-3
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21.

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by Nick T. Thomopoulos
出版情報: Boston, MA : Springer US, 2012
オンライン: http://dx.doi.org/10.1007/978-1-4614-3713-0
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22.

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by Rob Hyndman, Anne Koehler, Keith Ord, Ralph Snyder
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2008
シリーズ名: Springer Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-540-71918-2
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23.

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by Jürgen Franke, Wolfgang K. Härdle, Christian M. Hafner
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2008
シリーズ名: Universitext ;
オンライン: http://dx.doi.org/10.1007/978-3-540-76272-0
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24.

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edited by Cynthia Fraser
出版情報: New York, NY : Springer New York, 2009
オンライン: http://dx.doi.org/10.1007/978-0-387-74403-2
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25.

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by Joel L. Horowitz
出版情報: New York, NY : Springer Science+Business Media, LLC, 2009
シリーズ名: Springer Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-0-387-92870-8
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26.

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by Jacques A. Hagenaars, Marcel A. Croon, Wicher Bergsma
出版情報: New York, NY : Springer-Verlag New York, 2009
シリーズ名: Statistics for Social and Behavioral Sciences ;
オンライン: http://dx.doi.org/10.1007/b12532
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27.

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edited by Thomas Mikosch, Jens-Peter Kreiß, Richard A. Davis, Torben Gustav Andersen
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2009
オンライン: http://dx.doi.org/10.1007/978-3-540-71297-8
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28.

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edited by Bernhard Schipp, Walter Kräer
出版情報: Heidelberg : Physica-Verlag HD, 2009
オンライン: http://dx.doi.org/10.1007/978-3-7908-2121-5
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29.

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by Othmar W. Winkler
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2009
オンライン: http://dx.doi.org/10.1007/978-3-540-68721-4
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30.

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by Eva Cantoni, Philippe Huber, Elvezio Ronchetti
出版情報: Paris : Springer-Verlag Paris, 2009
シリーズ名: Statistique et probabilités appliquées ;
オンライン: http://dx.doi.org/10.1007/978-2-287-99671-9
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31.

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by Szymon Borak, Wolfgang Karl Härdle, Brenda López Cabrera
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2010
シリーズ名: Universitext ;
オンライン: http://dx.doi.org/10.1007/978-3-642-11134-1
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32.

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by Hubert Gatignon
出版情報: New York, NY : Springer Science+Business Media, LLC, 2010
オンライン: http://dx.doi.org/10.1007/978-1-4419-1270-1
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33.

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edited by Ingrid Van Keilegom, Paul W. Wilson
出版情報: Heidelberg : Physica-Verlag HD, 2012
オンライン: http://dx.doi.org/10.1007/978-3-7908-2349-3
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34.

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edited by Jin-Chuan Duan, Wolfgang Karl Härdle, James E. Gentle
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2012
シリーズ名: Springer Handbooks of Computational Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-642-17254-0
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35.

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by Jie Chen, Arjun K. Gupta
出版情報: Boston : Birkhäuser Boston, 2012
オンライン: http://dx.doi.org/10.1007/978-0-8176-4801-5
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36.

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by Thomas Quirk
出版情報: New York, NY : Springer Science+Business Media, LLC, 2012
オンライン: http://dx.doi.org/10.1007/978-1-4614-2071-2
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37.

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by Renato Lorenzo
出版情報: Milano : Springer Milan, 2012
シリーズ名: I Blu, Pagine di Scienza ;
オンライン: http://dx.doi.org/10.1007/978-88-470-2004-7
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38.

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by Emilio L. Cano, Javier M. Moguerza, Andrés Redchuk
出版情報: New York, NY : Springer New York : Imprint: Springer, 2012
シリーズ名: Use R! ; 36
オンライン: http://dx.doi.org/10.1007/978-1-4614-3652-2
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目次情報: 続きを見る
Part I Basics
Six Sigma in a Nutshell
R from the Beginning
Part II R Tools for the Define phase
Process Mapping with R
Loss Function Analysis with R
Part III R Tools for the Measure phase
Measurement System Analysis with R
Pareto Analysis with R
Process Capability Analysis with R
Part IV R Tools for the Analyze phase
Charts with R
Statistics and Probability with R
Statistical Inference with R
Part V R Tools for the Improve phase
Design of Experiments with R
Part VI R Tools for the Control phase
Process Control with R
Part VII Further and Beyond
Other Tools and Methodologies
Part I Basics
Six Sigma in a Nutshell
R from the Beginning
39.

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by Thomas J. Quirk
出版情報: New York, NY : Springer New York : Imprint: Springer, 2012
オンライン: http://dx.doi.org/10.1007/978-1-4614-3734-5
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Sample Size, Mean, Standard Deviation, and Standard Error of the Mean
Random Number Generator
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing
One-Group t-Test for the Mean
Two-Group t-Test of the Difference of the Means for Independent Groups
Correlation and Simple Linear Regression
Multiple Correlation and Multiple Regression
One-Way Analysis of Variance (ANOVA).-  Appendix A:  Answers to End-of-Chapter Practice Problems
Appendix B:  Practice Test
Appendix C:  Answers to Practice Test.- Appendix D:  Statistical Formulas.- Appendix E:  t-table
Index
Sample Size, Mean, Standard Deviation, and Standard Error of the Mean
Random Number Generator
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing
40.

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by Adrian Pizzinga
出版情報: New York, NY : Springer New York : Imprint: Springer, 2012
シリーズ名: SpringerBriefs in Statistics ; 12
オンライン: http://dx.doi.org/10.1007/978-1-4614-4738-2
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目次情報: 続きを見る
Introduction
Linear state space models and the Kalman filtering: a briefing
Restricted Kalman filtering: theoretical issues
Restricted Kalman filtering: methodological issues
Applications
Further Extensions
Introduction
Linear state space models and the Kalman filtering: a briefing
Restricted Kalman filtering: theoretical issues
41.

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by Shailaja Deshmukh
出版情報: India : Springer India : Imprint: Springer, 2012
オンライン: http://dx.doi.org/10.1007/978-81-322-0659-0
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目次情報: 続きを見る
Multiple Decrement Models
Introduction
Time to Decrement and Cause of Decrement Random Variables
Multiple Decrement Table
Associated Single Decrement Model
Exercises
Premiums and Reserves for Multiple Decrement Model
Actuarial Present Value of Benefit
Computation of Premiums
Computation of Reserves
Defined Benefit Pension Plan
Actuarial Present Value of Pension Benefit
Pension Funding
Accrued Benefit Cost Method for an Individual
Accrued Benefit Cost Method for a Group
Aggregate Actuarial Cost Method
Multi-State Transition Models For Cash Flows
Markov Chain
Actuarial Present Values of Cash Flows
Markov Process Model
Exercises.
Multiple Decrement Models
Introduction
Time to Decrement and Cause of Decrement Random Variables
42.

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by A Ohri
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
オンライン: http://dx.doi.org/10.1007/978-1-4614-4343-8
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目次情報: 続きを見る
Why R
R Infrastructure
R Interfaces
Manipulating Data
Exploring Data
Building Regression Models
Data Mining using R
Clustering and Data Segmentation
Forecasting and Time-Series Models
Data Export and Output
Optimizing your R Coding
Additional Training Literature
Appendix
Why R
R Infrastructure
R Interfaces
43.

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by Shlomo Yitzhaki, Edna Schechtman
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
シリーズ名: Springer Series in Statistics ; 272
オンライン: http://dx.doi.org/10.1007/978-1-4614-4720-7
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Introduction
More Than a Dozen Alternative Ways of Spelling Gini
The Gini equivalents of the covariance, the correlation and the regression coefficient
Decompositions of the GMD
The Lorenz curve and the concentration curve
The extended Gini family of measures
Gini Simple Regressions
Multiple Regressions
Inference on Gini-based parameters -estimation
Inference on Gini-based parameters -testing
Inference on Lorenz and on Concentration curves
Introduction to applications
Social welfare, relative deprivation and the Gini coefficient
Policy Analysis.-  Policy Analysis Using the Decomposition of the Gini by non-marginal analysis.- Incorporating poverty in Policy Analysis - the Marginal Analysis case
Introduction to applications of the GMD and the Lorenz curve in finance
The mean-Gini portfolio and the pricing of capital assets
Applications of Gini methodology in regression analysis
Gini's multiple regressions: two approaches and their interaction
Mixed OLS, Gini and extended Gini regressions.-  An application in statistics - ANOGI
Suggestions for further research
Introduction
More Than a Dozen Alternative Ways of Spelling Gini
The Gini equivalents of the covariance, the correlation and the regression coefficient
44.

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by Cheng-Few Lee, John C. Lee, Alice C. Lee
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
オンライン: http://dx.doi.org/10.1007/978-1-4614-5897-5
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Introduction and Descriptive Statistics
Probability and Important Distributions
Statistical Inferences Based on Samples
Regression and Correlation: Relating Two or More Variables
Selected Topics in Statistical Analysis for Business and Economics
Appendices
Index
Introduction and Descriptive Statistics
Probability and Important Distributions
Statistical Inferences Based on Samples
45.

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by Cynthia Fraser
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
オンライン: http://dx.doi.org/10.1007/978-1-4614-7381-7
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Statistics for Decision Making and Competitive Advantage
Describing Your Data Chapter
Hypothesis Tests, Confidence Intervals, and Simulation to Infer Population Characteristics and Differences
Quantifying the Influence of Performance Drivers and Forecasting: Regression
Market Simulation and Segmentation with Descriptive Statistics, Inference, Hypothesis Tests, and Regression
Finance Application: Portfolio Analysis with a Market Index as a Leading Indicator in Simple Linear Regression
Association between Two Categorical Variables: Contingency Analysis with Chi Square
Building Multiple Regression Models
Model Building and Forecasting with Multicollinear Time Series
Indicator Variables
Nonlinear Multiple Regression Models
Indicator Interactions for Segment Differences or Changes in Response
Logit Regression for Bounded Responses
Index
Statistics for Decision Making and Competitive Advantage
Describing Your Data Chapter
Hypothesis Tests, Confidence Intervals, and Simulation to Infer Population Characteristics and Differences
46.

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by Christiane Fuchs
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
オンライン: http://dx.doi.org/10.1007/978-3-642-25969-2
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目次情報: 続きを見る
Introduction
Stochastic Modelling in Life Sciences
Stochastic Differential Equations and Diffusions in a Nutshell
Approximation of Markov Jump Processes by Diffusions
Diffusion Models in Life Sciences
Parametric Inference for Discretely-observed Diffusions
Bayesian Inference for Diffusions with Low-frequency Observations
Application I: Spread of Influenza
Application II: Analysis of Molecular Binding
Conclusion and Outlook
Benchmark Models
Miscellaneous
Supplementary Material for Application I
Supplementary Material for Application II
Notation
References
Introduction
Stochastic Modelling in Life Sciences
Stochastic Differential Equations and Diffusions in a Nutshell
47.

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by Erik Hofmann, Patrick Beck, Erik Füger
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
オンライン: http://dx.doi.org/10.1007/978-3-642-31936-5
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A: Conception of the supply chain guideline: Introduction
Why do we need a SCD guideline?
Supply chain assessments
Principles and advantages of the supply chain differentiation approach
Structure of SCD-Guide
Scalability of the approach
Morphological box for SCD
Example cases
Challenges of an application of the supply chain assessment.-  B: Description of TO-BE supply chain: SCD-Guide preparation: Internal analysis: company strategy
External analysis: company and environment
Summary of strategic internal and external analysis
Application example and possible output
CM 1: Customer segmentation and supply chain strategy
Goals of content module 1
Customer requirements and segmentation
Assignment of supply chain strategies to customer segments
Application example of SCD-Guide CM1b and possible output
CM 2: Manufacturing strategy and supply chain management
Goals of content module 2
Product modularization
Modularization and decision of real net output ratio
Alternative to modularization: the formation of material groups
Manufacturing strategies
Manufacturing strategies and supply chain strategies
Supply chain strategies and customer order decoupling point
Application example of SCD-Guide CM2
CM 3
Goals of content module 3
Buyer-supplier relationships
Implications of buyer-supplier relationships on the sourcing procedure
Supplier management and supply chain strategies
Alternative approach to managing suppliers: The ABC analysis
Application example of SCD-Guide CM 3
CM 4
Goals of content module 4
Producing internationally
Implications of the manufacturing strategies on the supply chain processes
Supply chain processes in a differentiated supply chain context - The Dell case
Application example of SCD-Guide CM4 and possible output
CM 5: Supply chain governance
Goals of content module 5
Supply chain governance structure
Information sharing in supply chains
Application example of SCD-Guide CM5 and possible output
CM 6: Supporting activities – project management and human resource
Goals of content module 6
Supply chain project management
Human resources in supply chain management
The role of human resource management (HRM) in supply chain management
Application example of SCD-Guide CM6 and possible output
C: Phase 2 to 5: From the AS-IS analysis.
Phase 2: Identification of AS-IS supply chain and analysis
Goals of SCD-Phase 2
Content Module 1a
Content module 1b
Content module 2
Content module 3
Content module 4
Content module 5: Supply chain governance
Content module 6
Approach for key performance indicators selection
Application example of SCD-Guide SCD-Phase 2 and possible output
Phase 3: Supply chain gap analysis in the SCD-Guide
Goals of SCD-Phase 3
CM1: Customer segmentation and supply chain strategy
CM2: Modularization and vertical range of manufacture
CM3: Supplier segmentation and supply strategy
CM4: Allocation of supply chain activities
Functional supply chain processes
CM5: Supply chain governance
CM6: Supply chain project management and human resources perspective
Collection of corrective actions
Supply chain resources
Application example of SCD-Guide SCD-Phase 3 and possible output
Phase 4: Supply chain prioritization and selection of corrective actions
Goals for SCD-Phase 4
Prioritization procedure for corrective actions
Step 1: Goal prioritization
Step 2: Identification of corrective actions
Step 3: Pre-selection of corrective actions
Step 4: Evaluation and prioritization of corrective actions
Application example of SCD-Guide SCD-Phase 4 and possible output
Phase 5: Preparation of implementation of supply chain differentiation
Goals for SCD-Phase 5
Step 1: project conception
Step 2: project specification
Step 3: project planning
Application example of SCD-Guide SCD-Phase 5 and possible output.
A: Conception of the supply chain guideline: Introduction
Why do we need a SCD guideline?
Supply chain assessments
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by Simo Puntanen, George P. H. Styan, Jarkko Isotalo
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
シリーズ名: SpringerBriefs in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-642-32931-9
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The Model Matrix
Fitted Values and Residuals
Regression Coefficients
Alternative Estimators
Decompositions of Sums of Squares
Partial Correlations
Distributions
Testing Hypotheses
Diagnostics
BLUE: Some Helpful Identities
Estimability
Best Linear Unbiased Estimator
The Watson Efficiency
Linear Sufficiency and Admissibility
Best Linear Unbiased Predictor
Mixed Model
Multivariate Linear Model
Inverse of a Partitioned Matrix
Generalized Inverses
Projectors
Eigenvalues
Discriminant Analysis
Factor Analysis
Canonical Correlations
Matrix Decompositions
Principal Component Analysis
Löwner Ordering
Rank Rules
Inequalities
Kronecker Product
Matrix Derivatives
The Model Matrix
Fitted Values and Residuals
Regression Coefficients
49.

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by Szymon Borak, Wolfgang Karl Härdle, Brenda López-Cabrera
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
シリーズ名: Universitext ;
オンライン: http://dx.doi.org/10.1007/978-3-642-33929-5
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Part I Option Pricing: Derivatives
Introduction to Option Management
Basic Concepts of Probability Theory
Stochastic Processes in Discrete Time
Stochastic Integrals and Di erential Equations
Black-Scholes Option Pricing Model
Binomial Model for European Options
American Options
Models for the Interest Rate and Interest Rate Derivatives
Part II Statistical Model of Financial Time Series: Financial Time Series Models
ARIMA Time Series Models
Time Series with Stochastic Volatility
Part III Selected Financial Applications: Value at Risk and Backtesting
Copulae and Value at Risk
Statistics of Extreme Risks
Volatility Risk of Option Portfolios
Portfolio Credit Risk
References
Part I Option Pricing: Derivatives
Introduction to Option Management
Basic Concepts of Probability Theory
50.

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by Ludwig Fahrmeir, Thomas Kneib, Stefan Lang, Brian Marx
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
オンライン: http://dx.doi.org/10.1007/978-3-642-34333-9
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目次情報: 続きを見る
Introduction
Regression Models
The Classical Linear Model
Extensions of the Classical Linear Model
Generalized Linear Models
Categorical Regression Models
Mixed Models
Nonparametric Regression
Structured Additive Regression
Quantile Regression
A Matrix Algebra
B Probability Calculus and Statistical Inference
Bibliography
Index
Introduction
Regression Models
The Classical Linear Model
51.

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edited by Piotr Jaworski, Fabrizio Durante, Wolfgang Karl Härdle
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
シリーズ名: Lecture Notes in Statistics ; 213
オンライン: http://dx.doi.org/10.1007/978-3-642-35407-6
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A Convolution-based Autoregressive Process by Umberto Cherubini and Fabio Gobbi
Selection of Vine Copulas by Claudia Czado, Eike Christian Brechmann and Lutz Gruber
Copulas in Machine Learning by Gal Elidan
An Overview of the Goodness-of-fit Test problem for Copulas by Jean-David Fermanian
Assessing and Modeling Asymmetry in Bivariate Continuous data by Christian Genest and Johanna G. Nešehová
Modeling Time-Varying Dependencies between Positive-Valued High-Frequency Time Series by Nikolaus Hautsch, Ostap Okhrin and Alexander Ristig
The Limiting Properties of Copulas under Univariate Conditioning by Piotr Jaworski
Singular Mixture Copulas by Dominic Lauterbach and Dietmar Pfeifer
Toward a Copula Theory for Multivariate Regular Variation by Haijun Li
CIID Frailty Models and Implied Copulas by Jan-Frederik Mai, Matthias Scherer and Rudi Zagst
Copula-based Models for Multivariate Discrete Response Data by Aristidis K. Nikoloulopoulos
Vector Generalized Linear Models: A Gaussian Copula Approach by Peter X
K. Song, Mingyao Li and Peng Zhang
APPENDIX A: Gaussian-Hermite Quadrature
APPENDIX B: AREs of GEE and VGLM for binary
Application of Bernstein Copulas to the Pricing of Multi-asset Derivatives by Bertrand Tavin
A Convolution-based Autoregressive Process by Umberto Cherubini and Fabio Gobbi
Selection of Vine Copulas by Claudia Czado, Eike Christian Brechmann and Lutz Gruber
Copulas in Machine Learning by Gal Elidan
52.

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by Jan Beran, Yuanhua Feng, Sucharita Ghosh, Rafal Kulik
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
オンライン: http://dx.doi.org/10.1007/978-3-642-35512-7
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Definition of Long Memory
Origins and Generation of Long Memory
Mathematical Concepts
Limit Theorems
Statistical Inference for Stationary Processes
Statistical Inference for Nonlinear Processes
Statistical Inference for Nonstationary Processes
Forecasting
Spatial and Space-Time Processes
Resampling
Function Spaces
Regularly Varying Functions
Vague Convergence
Some Useful Integrals
Notation and Abbreviations
Definition of Long Memory
Origins and Generation of Long Memory
Mathematical Concepts
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edited by Nicola Torelli, Fortunato Pesarin, Avner Bar-Hen
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
シリーズ名: Studies in Theoretical and Applied Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-642-35588-2
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Part I Statistical Theory: Default Priors Based on Pseudo-likelihoods for the Poisson-GPD Model (Stefano Cabras)
Robustness, Dispersion and Local Functions in Data Depth (Mario Romanazzi and Claudio Agostinelli).-  New Distribution-free Plotting Position Through an Approximation to the Beta Median (Pasquale Erto and Antonio Lepore)
On Gaussian Compound Poisson Type Limiting Likelihood Ratio Process (Sergueï Dachian and Ilia Negri)
Archetypal Symbolic Objects (M.R. D’Esposito, F. Palumbo, G. Ragozini)
Lorenz Zonoids and Dependence Measures: A Proposal (Emanuela Raffinetti, Paolo Giudici)
Algebraic Generation of Orthogonal Fractional Factorial Designs (Roberto Fontana and Giovanni Pistone)
Part II Methods for Time Series, Spatial and Functional Data: A Functional Spatio-Temporal Model for Geometric Shape Analysis (Lara Fontanella, Luigi Ippoliti and Pasquale Valentini)
Vector Threshold Moving Average Models: Model Specification and Invertibility (Marcella Niglio, Cosimo Damiano Vitale)
A Regionalization Method for Spatial Functional Data Based on Variogram Models: An Application on Environmental Data (Elvira Romano, Antonio Balzanella, and Rosanna Verde)
Spectral Decomposition of the AR Metric (Maria Iannario and Domenico Piccolo)
Nonlinear Nonstationary Model Building by Genetic Algorithms (Francesco Battaglia and Mattheos K. Protopapas)
Using the Autodependogram in Model Diagnostic Checking (Luca Bagnato and Antonio Punzo)
Part III Statistical Modelling and Data Analysis: Refined Estimation of a Light Tail: an Application to Environmental Data (M. Ivette Gomes, Lígia Henriques-Rodrigues and Frederico Caeiro)
Model-based Classification of Clustered Binary Data with Non Ignorable Missing Values (Francesco Lagona)
A Model for Correlated Paired Comparison Data (Manuela Cattelan and Cristiano Varin)
Closed Skew Normal Stochastic Frontier Models for Panel Data (Roberto Colombi)
How far can Man go? (Isabel Fraga Alves, Laurens de Haan and Cláudia Neves)
Joint Modelling of Longitudinal and Time-to-Event Data: Challenges and Future Directions (Dimitris Rizopoulos)
A Class of Linear Regression Models for Imprecise Random Elements (Renato Coppi, Maria Brigida Ferraro and Paolo Giordani)
A Model-based Dimension Reduction Approach to Classification of Gene Expression Data (Luca Scrucca and Avner Bar-Hen)
Exploiting Multivariate Outcomes in Bayesian Inference for Causal Effects With Noncompliance (Alessandra Mattei, Fabrizia Mealli and Barbara Pacini)
Fuzzy Composite Indicators: An Application for Measuring Customer Satisfaction (Sergio Zani, Maria Adele Milioli, Isabella Morlini)
Part IV Survey Methodology and Official Statistics: Symmetric Association Measures in Effect-control Sampling (Riccardo Borgoni, Piero Quatto and Donata Marasini)
Spatial Misalignment Models for Small Area Estimation: A Simulation Study (Matilde Trevisani and Alan Gelfand)
Scrambled Response Models Based on Auxiliary Variables (Giancarlo Diana and Pier Francesco Perri)
Using Auxiliary Information and Nonparametric Methods in Weighting Adjustments (Emilia Rocco)
Open Source Integer Linear Programming Solvers for Error Localization in Numerical Data (Gianpiero Bianchi, Renato Bruni, Alessandra Reale)
Integrating Business Surveys: Guidelines and Principles Based on the Belgian Experience (Maria Caterina Bramati)
Part V Social Statistics and Demography: A Measure of Poverty Based on the Rasch Model (Maria Cristiana Martini and Cristiano Vanin)
Chronic Poverty in European Mediterranean Countries (Daria Mendola and Annalisa Busetta)
Do Union Formation and Childbearing Improve Subjective Well-being? An application of Propensity Score Matching to a Bulgarian Banel (Emiliano Sironi and Francesco C. Billari)
Health and Functional Status in Elderly Patients Living in Residential Facilities in Italy (Giulia Cavrini, Claudia Di Priamo, Lorella Sicuro, Alessandra Battisti, Alessandro  Solipaca  and Giovanni de Girolamo)
Dementia in the Elderly:. Health Consequences on Household Members (Egidi V., Salvatore M.A., Gargiulo L., Iannucci L., Sebastiani G., Tinto A.)
Asset Ownership of the Elderly Across Europe: A multilevel Latent Class Analysis to Segment Countries and Households (Omar Paccagnella and Roberta Varriale)
The Longevity Pattern in Emilia Romagna, Italy: A Spatio-temporal Analysis (Giulia Roli, Rossella Miglio, Rosella Rettaroli and Alessandra Samoggia)
Material Deprivation and Incidence of Lung Cancer: A Census Block Analysis (Laura Grisotto, Dolores Catelan and Annibale Biggeri)
Mining Administrative Health Databases for Epidemiological Purposes: A Case Study on Acute Myocardial Infarctions Diagnoses (Francesca Ieva, Anna Maria Paganoni and Piercesare Secchi)
Part VI Economic Statistics and Econometrics: Fractional Integration Models for Italian Electricity Zonal Prices (Angelica Gianfreda and Luigi Grossi)
A Generalized Composite Index Based on the Non-Substitutability of Individual Indicators (Matteo Mazziotta and Adriano Pareto)
Evaluating the Efficiency of the Italian University Educational Processes Through Frontier Production Methods (Luigi Biggeri, Tiziana Laureti, Luca Secondi)
Modeling and Forecasting Realized Range Volatility (Massimiliano Caporin and Gabriel G. Velo)
Clusters and Equivalence Scales (Gustavo De Santis and Mauro Maltagliati)
The Determinants of Income Dynamics (Gustavo De Santis and Giambattista Salinari)
Benchmarking and Movement Preservation: Evidences From Real-life and Simulated Series (Tommaso Di Fonzo and Marco Marini)
Cumulation of Poverty Measures to Meet New Policy Needs (Vijay Verma, Francesca Gagliardi, Caterina Ferretti)
Long Memory in Integrated and Realized Variance (Eduardo Rossi and Paolo Santucci de Magistris)
Part I Statistical Theory: Default Priors Based on Pseudo-likelihoods for the Poisson-GPD Model (Stefano Cabras)
Robustness, Dispersion and Local Functions in Data Depth (Mario Romanazzi and Claudio Agostinelli).-  New Distribution-free Plotting Position Through an Approximation to the Beta Median (Pasquale Erto and Antonio Lepore)
On Gaussian Compound Poisson Type Limiting Likelihood Ratio Process (Sergueï Dachian and Ilia Negri)
54.

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by J.P. Verma
出版情報: India : Springer India : Imprint: Springer, 2013
オンライン: http://dx.doi.org/10.1007/978-81-322-0786-3
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Chapter 1: Data Management
Chapter 2: Descriptive Analysis
Chapter 3: Chi-Square test and its Application
Chapter 4: Correlation Matrix and Partial Correlation - Explaining Relationships
Chapter 5: Regression Analysis and Multiple Correlations -  For Estimating a Measurable Phenomenon
Chapter 6: Hypothesis testing for decision making
Chapter 7: One Way ANOVA - For testing the variability among group Means
Chapter 8: Two Way Analysis of Variance – For Understanding the Causes of Variations
Chapter 9:  Analysis of Covariance- To study the role of covariate in Experimental Research
Chapter 10: Cluster Analysis- For segmenting the population
Chapter 11: Application of Factor Analysis – To study the Factor Structure among Variables
Chapter 12: Application of Discriminant Analysis – For developing a classification model
Chapter 13: Logistic Regression – Developing a model for Risk Analysis
Chapter 14: Multidimensional Scaling for product positioning
Chapter 1: Data Management
Chapter 2: Descriptive Analysis
Chapter 3: Chi-Square test and its Application
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by Mohammad Ahsanullah, Valery B Nevzorov, Mohammad Shakil
出版情報: Paris : Atlantis Press : Imprint: Atlantis Press, 2013
シリーズ名: Atlantis Studies in Probability and Statistics ; 3
オンライン: http://dx.doi.org/10.2991/978-94-91216-83-1
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Basic definitions
Distributions of order statistics
Sample quantiles and ranges
Representations for order statistics
Conditional distributions of order statistics.-Order statistics for discrete distributions
Moments of order statistics: general relations
Moments of uniform and exponential order statistics
Moment relations for order statistics: normal distribution
Asymptotic behavior of the middle and intermediate order statistics
Asymptotic behavior of the extreme order statistics
Some properties of estimators based on order statistics
Minimum variance linear unbiased estimators
Minimum variance linear unbiased estimators and predictors based on censored samples
Estimation of parameters based on fixed number of sample quantiles
Order statistics from extended samples
Order statistics and record values
Characterizations of distributions based on properties of order statistics
Order statistics and record values based on Fα distributions
Generalized order statistics
Compliments and problems
Basic definitions
Distributions of order statistics
Sample quantiles and ranges
56.

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edited by Mingxiu Hu, Yi Liu, Jianchang Lin
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 55
オンライン: http://dx.doi.org/10.1007/978-1-4614-7846-1
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Bayesian statistics in clinical trials
High-dimensional data analysis:   Survival analysis
Adaptive designs
Statistics in Business and Finance
Biomarker analysis
Statistical genetics and genomics
Data mining and statistical learning
Bayesian statistics in clinical trials
High-dimensional data analysis:   Survival analysis
Adaptive designs
57.

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edited by Paolo Giudici, Salvatore Ingrassia, Maurizio Vichi
出版情報: Heidelberg : Springer International Publishing : Imprint: Springer, 2013
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/978-3-319-00032-9
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From the contents: Ordering curves by data depth
May the students' career performance helpful in predicting an increase in universities income?
Model-based classification via patterned covariance analysis
Data stream summarization by histograms clustering
Web panel representativeness
Nonparametric inference via permutation tests for CUB models
Asymmetric multidimensional scaling models for seriations
An approach to ranking the hedge funds industry
Correction of incoherences in statistical matching
The analysis of network additionality in the context of territorial innovation policy
Clustering and registration of multidimensional functional data
Classifying tourism destinations
On two classes of weighted rank correlation measures deriving from teh Spearman's r
Beanplot data analysis in a temporal framework
Supervised classification of facial expressions
Grouping around different dimensional affine subspaces
Hospital clustering in the treatment of acute myocardial infarction patients via a Bayesian semiparametric approach
A new fuzzy method to classify professional profiles from job announcements
A metric based approach for the Least Square Regression of multivariate model symbolic data
A Gaussian-Von Mises Hidden Markov model for clustering multivariate linear-circular data
And further articles.
From the contents: Ordering curves by data depth
May the students' career performance helpful in predicting an increase in universities income?
Model-based classification via patterned covariance analysis
58.

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edited by Berthold Lausen, Dirk Van den Poel, Alfred Ultsch
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2013
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/978-3-319-00035-0
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Invited
Clustering and Unsupervised Learning
Statistical Data Analysis, Visualization and Scaling
Bioinformatics and Biostatistics
Archaeology and Geography, Psychology and Educational Sciences
Text Mining, Social Networks and Clustering
Banking and Finance
Marketing and Management
Music Classification Workshop
Invited
Clustering and Unsupervised Learning
Statistical Data Analysis, Visualization and Scaling
59.

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by Yuriy Kharin
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2013
オンライン: http://dx.doi.org/10.1007/978-3-319-00840-0
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Preface
Symbols and Abbreviations
Introduction
A Decision-Theoretic Approach to Forecasting
Time Series Models of Statistical Forecasting
Performance and Robustness Characteristics in Statistical Forecasting
Forecasting under Regression Models of Time Series
Robustness of Time Series Forecasting Based on Regression Models
Optimality and Robustness of ARIMA Forecasting
Optimality and Robustness of Vector Autoregression Forecasting under Missing Values
Robustness of Multivariate Time Series Forecasting Based on Systems of Simultaneous Equations
Forecasting of Discrete Time Series
Index
Preface
Symbols and Abbreviations
Introduction
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edited by Wolfgang Gaul, Andreas Geyer-Schulz, Yasumasa Baba, Akinori Okada
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2014
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/978-3-319-01264-3
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目次情報:
Clustering
Analysis of Data and Models
Applications
Clustering
Analysis of Data and Models
Applications
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by Masanobu Taniguchi, Tomoyuki Amano, Hiroaki Ogata, Hiroyuki Taniai
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2014
シリーズ名: SpringerBriefs in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-319-03497-3
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Preface
Features of Financial Data
Empirical Likelihood Approaches for Financial Returns
Various Methods for Financial Engineering
Some Techniques for ARCH Financial Time Series
Index
Preface
Features of Financial Data
Empirical Likelihood Approaches for Financial Returns
62.

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by Matthias J. Fischer
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014
シリーズ名: SpringerBriefs in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-642-45138-6
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Preface
Hyperbolic Secant Distributions
The GSH Distribution Family and Skew Versions
The NEF-GHS or Meixner Distribution Family
The BHS Distribution Family
The SHS and SASHS Distribution Family
Application to Finance
R-Code: Fitting a BHS Distribution
Preface
Hyperbolic Secant Distributions
The GSH Distribution Family and Skew Versions
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by Gauss M. Cordeiro, Francisco Cribari-Neto
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014
シリーズ名: SpringerBriefs in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-642-55255-7
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Preface
Likelihood-Based Inference and Finite-Sample Corrections: A Brief Overview
Bartlett Corrections and Bootstrap Testing Inference
Bartlett-Type Corrections
Analytical and Bootstrap Bias Corrections
Supplementary Material
Glossary
Preface
Likelihood-Based Inference and Finite-Sample Corrections: A Brief Overview
Bartlett Corrections and Bootstrap Testing Inference
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by Ronald L. Moy, Li-Shya Chen, Lie Jane Kao
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
オンライン: http://dx.doi.org/10.1007/978-3-319-11997-7
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Introduction
Data Collection and Presentation
Frequency Distribution and Data Analyses
Numerical Summary Measures
Probability Concepts and their Analyses
Discrete Random Variables and Probability Distributions
The Normal and Lognormal Distributions
Sampling and Sampling Distributions
Other Continuous Distributions and Moments for Distributions
Hypothesis Testing
Analysis of Variance and Chi-Square Tests
Simple Linear Regression and the Correlation Coefficient
Simple Linear Regression and Correlation: Analyses and Applications
Multiple Linear Regression
Other Topics in Applied Regression Analysis
Nonparametric Statistics
Time-Series: Analysis, Model and Forecasting
Index Numbers and Stock Market Indexes
Sampling Surveys
Statistical Decision Theory
Introduction
Data Collection and Presentation
Frequency Distribution and Data Analyses
65.

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edited by Marc Hallin, David M. Mason, Dietmar Pfeifer, Josef G. Steinebach
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
オンライン: http://dx.doi.org/10.1007/978-3-319-12442-1
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István Berkes and Robert Tichy: Lacunary Series and Stable Distributions
Gérard Biau and David M. Mason: High-Dimensional p-Norms
Denis Bosq: Estimating and Detecting Jumps – Applications to D[0,1]-valued Linear Processes
Maëva Biret, Michel Broniatowski and Zansheng Cao: A Sharp Abelian Theorem for the Laplace Transform
Endre Csáki and Miklós Csörgő: On Bahadur-Kiefer Type Processes for Sums and Renewals in Dependent Cases
El hadji Deme, Stéphane Girard, and Armelle Guillou: Reduced-bias Estimator of the Conditional Tail Expectation of Heavy-tailed Distributions
Erich Haeusler and Stefan Horni: On Sequential Empirical Distribution Functions for Random Variables with Mean Zero
Marc Hallin, Ramon van den Akker, and Bas J.M. Werker: On Quadratic Expansions of Log-Likelihoods and a General Asymptotic Linearity Result
Michel Harel, Jean-François Lenain and Joseph Ngatchou-Wandji: Asymptotic Normality of Binned Kernel Density Estimators for Non-Stationary Dependent Random Variables
Enkelejd Hashorva, Mikhail Lifshits, Oleg Seleznjev: Approximation of a Random Process with Variable Smoothness
Gennady Martynov: A Cramér-von Mises Test for Gaussian Processes
Ya. Yu. Nikitin and M. Ahsanullah: New U-empirical Tests of Symmetry Based on Extremal Order Statistics, and Their Efficiencies
Davy Paindaveine and Thomas Verdebout: Optimal Rank-Based Tests for the Location Parameter of a Rotationally Symmetric Distribution on the Hypersphere
Dominic Lauterbach and Dietmar Pfeifer: Some Extensions of Singular Mixture Copulas
Adrian E. Raftery: Paul Deheuvels – Mentor, Advocate for Statistics, and Applied Statistician
Paul Doukhan, Oleg I. Klesov, and Josef G. Steinebach: Strong Laws of Large Numbers in an Fα-scheme
Ju-Yi Yen and Marc Yor: On Two Results of P. Deheuvels
Ju-Yi Yen and Marc Yor: Some Topics in Probability Theory
István Berkes and Robert Tichy: Lacunary Series and Stable Distributions
Gérard Biau and David M. Mason: High-Dimensional p-Norms
Denis Bosq: Estimating and Detecting Jumps – Applications to D[0,1]-valued Linear Processes
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by Marat Ibragimov, Rustam Ibragimov, Johan Walden
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Lecture Notes in Statistics ; 214
オンライン: http://dx.doi.org/10.1007/978-3-319-16877-7
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Introduction
Implications of Heavy-tailed ness
Inference and Empirical Examples
Conclusion
Introduction
Implications of Heavy-tailed ness
Inference and Empirical Examples
67.

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edited by Christos P. Kitsos, Teresa A. Oliveira, Alexandros Rigas, Sneh Gulati
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 136
オンライン: http://dx.doi.org/10.1007/978-3-319-18029-8
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edited by Umberto Cherubini, Fabrizio Durante, Sabrina Mulinacci
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 141
オンライン: http://dx.doi.org/10.1007/978-3-319-19039-6
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A Survey of Dynamic Representations and Generalizations of the Marshall–Olkin Distribution German Bernhart, Lexuri Fernández, Jan-Frederik Mai, Steffen Schenk , and Matthias Scherer
Copulas Based on Marshall–Olkin Machinery by Fabrizio Durante and Stéphane Girard, and Gildas Mazo
The mean of Marshall–Olkin dependent exponential random  by Lexuri Fernández and Jan-Frederik Mai and Matthias Scherer
General Marshall-Olkin Models, Dependence Orders and Comparisons of Environmental Processes by Esther Frostig and Franco Pellerey
Marshall-Olkin Machinery and Power Mixing: the Mixed Generalized Marshall-Olkin Distribution by Sabrina Mulinacci
Extended Marshall-Olkin Model and Its Dual Version by Jayme Pinto and Nikolai Kolev
A Survey of Dynamic Representations and Generalizations of the Marshall–Olkin Distribution German Bernhart, Lexuri Fernández, Jan-Frederik Mai, Steffen Schenk , and Matthias Scherer
Copulas Based on Marshall–Olkin Machinery by Fabrizio Durante and Stéphane Girard, and Gildas Mazo
The mean of Marshall–Olkin dependent exponential random  by Lexuri Fernández and Jan-Frederik Mai and Matthias Scherer
69.

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by Jürgen Franke, Wolfgang Karl Härdle, Christian Matthias Hafner
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015
シリーズ名: Universitext ;
オンライン: http://dx.doi.org/10.1007/978-3-642-54539-9
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Part I Option Pricing: Derivatives
Introduction to Option Management
Basic Concepts of Probability Theory
Stochastic Processes in Discrete Time
Stochastic Integrals and Differential Equations
Black–Scholes Option Pricing Model
Binomial Model for European Options
American Options
Exotic Options
Interest Rates and Interest Rate Derivatives
Part II Statistical Models of Financial Time Series: Introduction – Definitions and Concepts
ARIMA Time Series Models
Time Series with Stochastic Volatility
Long Memory Time Series
Non-Parametric and Flexible Time Series Estimators
Part III Selected Financial Applications: Copulae and Value at Risk
Statistics of Extreme Risks
Neural Networks
Volatility Risk of Option Portfolios
Nonparametric Estimators for the Probability of Default
Credit Risk Management and Credit Derivatives
Appendix: Integration Theory
Portfolio Strategies
Part I Option Pricing: Derivatives
Introduction to Option Management
Basic Concepts of Probability Theory
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by Mohammad Ahsanullah, Valery B. Nevzorov
出版情報: Paris : Atlantis Press : Imprint: Atlantis Press, 2015
シリーズ名: Atlantis Studies in Probability and Statistics ; 6
オンライン: http://dx.doi.org/10.2991/978-94-6239-136-9
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Introduction
Order Statistics
Record Times
Record Values
Record Values of Some Well Known Distributions
Records of Discrete Distributions
Estimation of Parameters and Prediction of Records
Characterizations of Distributions
Asymptotic Distributions of Records
Nonclassical Record Scheme
Introduction
Order Statistics
Record Times
71.

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edited by Isabella Morlini, Tommaso Minerva, Maurizio Vichi
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/978-3-319-17377-1
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Using the dglars Package to Estimate a Sparse Generalized Linear Model
A Depth function for Geostatistical Functional Data
Robust Clustering of EU Banking Data
Sovereign Risk and Contagion Effects in the Eurozone: a Bayesian Stochastic Correlation Model
Female Labour Force Participation and Selection Effect: Southern vs Eastern European Countries
Asymptotics in Survey Sampling for High Entropy Sampling Design
A Note On the Use of Recursive Partitioning in Causal Inference
Meta-Analysis of Poll Accuracy Measures: A Multilevel Approach
Families of Parsimonious Finite Mixtures of Regression Models
Quantile Regression for Clustering and Modeling Data
Non-metric MDS Consensus Community Detection
The performance of the Gradient-like Influence Measure in Generalized Linear Mixed Models
New Flexible Probability Distributions for Ranking Data
Robust Estimation of Regime Switching Models
Incremental Visualization of Categorical Data
A new Proposal for Tree Model Selection and Visualization
Object-Oriented Bayesian Network to Deal with Measurement Error in Household Surveys
Comparing Fuzzy and Multidimensional Methods to Evaluate Well-being in European Regions
Cluster Analysis of Three-way Atmospheric Data
Asymmetric CLUster Analysis Based on SKEW-symmetry: ACLUSKEW
Parsimonious Generalized Linear Gaussian Cluster-Weighted Models
New perspectives for the MDC Index in Social Research Fields
Clustering Methods for Ordinal Data: A Comparison Between Standard and New Approaches
Novelty Detection with One-class Support Vector Machines
Using Discrete-time  Multi-State Models to Analyze  Students' University Pathways
Using the dglars Package to Estimate a Sparse Generalized Linear Model
A Depth function for Geostatistical Functional Data
Robust Clustering of EU Banking Data
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by Andreas Behr
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
オンライン: http://dx.doi.org/10.1007/978-3-319-20502-1
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Introduction
Linear Production Model
Production Functions
Production Functions with Panel Data
Introduction to Linear Programming
Data Envelopment Analysis
Stochastic Data Envelopment Analysis
Stochastic Frontier Analysis
Panel Data Stochastic Frontier Analysis
Introduction
Linear Production Model
Production Functions
73.

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by Roger B. Nelsen
出版情報: New York, NY : Springer Science+Business Media, Inc., 2006
シリーズ名: Springer Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/0-387-28678-0
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by Christian P. Robert
出版情報: Paris : Springer-Verlag France, Paris, 2006
シリーズ名: Statistique et probabilités appliquées ;
オンライン: http://dx.doi.org/10.1007/2-287-31120-3
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by Eva Cantoni, Elvezio Ronchetti, Philippe Huber
出版情報: Paris : Springer-Verlag France, Paris, 2006
シリーズ名: Statistique et probabilités appliquées ;
オンライン: http://dx.doi.org/10.1007/978-2-287-34073-4
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by John Wolberg
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2006
オンライン: http://dx.doi.org/10.1007/3-540-31720-1
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edited by Myra Spiliopoulou, Rudolf Kruse, Christian Borgelt, Andreas Nürnberger, Wolfgang Gaul
出版情報: Berlin, Heidelberg : Springer Berlin · Heidelberg, 2006
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/3-540-31314-1
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edited by Vladimir Batagelj, Hans-Hermann Bock, Anuška Ferligoj, Aleš Žiberna
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin · Heidelberg, 2006
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/3-540-34416-0
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by Dieter Sondermann
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2006
シリーズ名: Lecture Notes in Economics and Mathematical Systems ; 579
オンライン: http://dx.doi.org/10.1007/3-540-34837-9
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edited by Hans-Joachim Lenz, Peter-Theodor Wilrich
出版情報: Heidelberg : Physica-Verlag Heidelberg, 2006
オンライン: http://dx.doi.org/10.1007/3-7908-1687-6
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edited by Stefan Sperlich, Wolfgang Härdle, Gökhan Aydinli
出版情報: Heidelberg : Physica-Verlag Heidelberg, 2006
シリーズ名: Contributions to Statistics ;
オンライン: http://dx.doi.org/10.1007/3-7908-1701-5
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by Éric Parent, Jacques Bernier
出版情報: Paris : Springer-Verlag France, Paris, 2007
シリーズ名: Statistique et probabilités appliquées ;
オンライン: http://dx.doi.org/10.1007/978-2-287-33907-3
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by Pierre-André Cornillon, Éric Matzner-Løber
出版情報: Paris : Springer-Verlag France, Paris, 2007
シリーズ名: Statistique et probabilités appliquées ;
オンライン: http://dx.doi.org/10.1007/978-2-287-39693-9
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by Wolfgang Härdle, Léopold Simar
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2007
オンライン: http://dx.doi.org/10.1007/978-3-540-72244-1
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edited by Jesús López-Fidalgo, Juan Manuel Rodríguez-Díaz, Ben Torsney
出版情報: Heidelberg : Physica-Verlag Heidelberg, 2007
シリーズ名: Contributions to Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-7908-1952-6
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by Francesco Battaglia
出版情報: Milano : Springer-Verlag Milan, 2007
シリーズ名: Unitext, Collana di Statistica e Probabilità Applicata ;
オンライン: http://dx.doi.org/10.1007/978-88-470-0603-4
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edited by Roberto Minguez, Jose-Maria Sarabia, N. Balakrishnan, Barry C. Arnold
出版情報: Boston : Birkhäuser Boston, 2008
シリーズ名: Statistics for Industry and Technology ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-4626-4
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by Tze Leung Lai, Haipeng Xing ; edited by George Casella, Stephen Fienberg, Ingram Okin
出版情報: New York, NY : Springer Science+Business Media, LLC, 2008
シリーズ名: Springer Texts in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-0-387-77827-3
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by Suzanne Jak
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: SpringerBriefs in Research Synthesis and Meta-Analysis ;
オンライン: http://dx.doi.org/10.1007/978-3-319-27174-3
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目次情報: 続きを見る
Introduction
Methods of MASEM
Heterogeneity in MASEM
Issues in MASEM
Example: Fitting a path model with the two-stage approach
Example: Fitting a factor model with the two-stage approach
Conclusions
Introduction
Methods of MASEM
Heterogeneity in MASEM
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edited by Hans-Joachim Lenz, Peter-Theodor Wilrich, Wolfgang Schmid
出版情報: Heidelberg : Springer-Verlag Berlin Heidelberg, 2010
オンライン: http://dx.doi.org/10.1007/978-3-7908-2380-6
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by Myoung-jae Lee
出版情報: New York, NY : Springer-Verlag New York, 2010
オンライン: http://dx.doi.org/10.1007/b60971
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by Tomas Cipra
出版情報: Heidelberg : Springer-Verlag Berlin Heidelberg, 2010
オンライン: http://dx.doi.org/10.1007/978-3-7908-2593-0
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edited by Francesco Palumbo, Carlo Natale Lauro, Michael J. Greenacre
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2010
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/978-3-642-03739-9
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edited by M.S. Nikulin, Nikolaos Limnios, N. Balakrishnan, Waltraud Kahle, Catherine Huber-Carol
出版情報: Boston : Birkhäuser Boston, 2010
シリーズ名: Statistics for Industry and Technology ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-4924-1
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edited by Luigi Biggeri, Guido Ferrari
出版情報: Heidelberg : Springer-Verlag Berlin Heidelberg, 2010
シリーズ名: Contributions to Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-7908-2140-6
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edited by Agostino Di Ciaccio, Mauro Coli, Jose Miguel Angulo Ibanez
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012
シリーズ名: Studies in Theoretical and Applied Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-642-21037-2
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