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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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2.

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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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7.

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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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目次情報: 続きを見る
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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目次情報: 続きを見る
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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目次情報: 続きを見る
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