Methods and Applications of Linear Models

Ronald Hocking

740 pages, parution le 02/05/2003 (2^eme édition)

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Résumé

The Second Edition has been rearranged and reorganized, as well as fully updated and expanded to cover new developments.
* Includes material on the AVE method and explains existing information in an even more user-friendly form.
* Includes additional exercises.
* Describes a general approach to the analysis of unbalanced mixed models
* Uses data-based approach to development and analysis.
* Data sets will be available on an FTP site

Part I: Regression Models.

Introduction to Linear Models
Regression on Functions of One Variable
Transforming the Data
Regression of Functions of Several Variables
Collinearity in Multiple Linear Regression
Influential Observations in Multiple Linear Regression
Polynomial Models and Qualitative Predictors
Additional Topics

Part II: Analysis of Variance Models

Introduction to Analysis of Variance Models
Fixed Effects Models I: One-Way Classification of Means
Fixed Effects Models II: Two-Way Classification of Means
Fixed Effects Models III: Multiple Crossed and Nested Factors
Mixed Models I: The AOV Method with Balanced Data
Mixed Models II: The AVE Method with Balanced Data
Mixed Models III: Unbalanced Data

Part III: Mathematical Theory of Linear Models

Distribution of Linear and Quadratic Forms
Estimation and Inference for Linear Models
Simultaneous Inference: Tests and Confidence Intervals

Appendix A Mathematics
Appendix B Statistics
Appendix C Statistical Tables
Appendix D Data Tables

L'auteur - Ronald Hocking

PhD, is Professor Emeritus in the Department of Statistics at Texas A&M University. He is also co-owner of PenHock Statistical Consultants in Ishpeming, Michigan.

Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Ronald Hocking
Parution	02/05/2003
Édition	2^eme édition
Nb. de pages	740
Format	16 x 24
Couverture	Relié
Poids	1185g
Intérieur	Noir et Blanc
EAN13	9780471232223
ISBN13	978-0-471-23222-3