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1. Modeling Financial Time Series with S-PLUS®. Second Edition
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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2. Advances in Social Science Research Using R
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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3. International Encyclopedia of Statistical Science
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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4. Business Statistics for Competitive Advantage with Excel 2007 : Basics, Model Building, and Cases
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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5. Handbook of Financial Time Series
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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6. Statistical Analysis of Management Data. 2
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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7. Discretization of Processes
by Jean Jacod, Philip Protter
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2012
シリーズ名: Stochastic Modelling and Applied Probability ; 67
オンライン: http://dx.doi.org/10.1007/978-3-642-24127-7
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8. The Gini Methodology : A Primer on a Statistical Methodology
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
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9. Mathematical Statistics for Economics and Business. 2nd ed. 2013
by Ron C. Mittelhammer
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
オンライン: http://dx.doi.org/10.1007/978-1-4614-5022-1
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Elements of Probability Theory
Random Variables, Densities, and Cumulative Distribution Functions
Expectations and Moments of Random Variables
Parametric Families of Density Functions
Basic Asymptotics
Sampling, Sample Moments, Sampling Distributions, and Simulation
Point Estimation Theory
Point Estimation Methods
Hypothesis Testing Theory
Hypothesis Testing Methods and Confidence Regions
Appendix
Elements of Probability Theory
Random Variables, Densities, and Cumulative Distribution Functions
Expectations and Moments of Random Variables
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10. Formulas Useful for Linear Regression Analysis and Related Matrix Theory : It's Only Formulas But We Like Them
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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目次情報: 続きを見る
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