Linear Regression Analysis

George A. Seber, Alan J. Lee

558 pages, parution le 04/03/2003 (2^eme édition)

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Résumé

Concise, mathematically clear, and comprehensive treatment of the subject.
* Expanded coverage of diagnostics and methods of model fitting.
* Requires no specialized knowledge beyond a good grasp of matrix algebra and some acquaintance with straight-line regression and simple analysis of variance models.
* More than 200 problems throughout the book plus outline solutions for the exercises.
* This revision has been extensively class-tested.

Contents

Vectors of Random Variables.
Multivariate Normal Distribution.
Linear Regression: Estimation and Distribution Theory.
Hypothesis Testing.
Confidence Intervals and Regions.
Straight-Line Regression.
Polynomial Regression.
Analysis of Variance.
Departures from Underlying Assumptions.
Departures from Assumptions: Diagnosis and Remedies.
Computational Algorithms for Fitting a Regression.
Prediction and Model Selection.
Appendix A. Some Matrix Algebra.
Appendix B. Orthogonal Projections.
Appendix C. Tables.
Outline Solutions to Selected Exercises.
References.

L'auteur - George A. Seber

George A.F. Seber is professor in the Department of Statistics at The University of Auckland in New Zealand.

L'auteur - Alan J. Lee

ALAN J. LEE, PhD, is the Chairman of the Department of Statistics at the University of Auckland.

Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	George A. Seber, Alan J. Lee
Parution	04/03/2003
Édition	2^eme édition
Nb. de pages	558
Format	16 x 24
Couverture	Relié
Poids	925g
Intérieur	Noir et Blanc
EAN13	9780471415404
ISBN13	978-0-471-41540-4