
Linear Regression Analysis, Second Edition
GAF Seber(Author)
Wiley-Blackwell (Publisher)
Published on 20. January 2012
Software
Other digital
592 pages
978-0-471-72219-9 (ISBN)
Description
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.
Reviews / Votes
"With excellent motivating and presenting style, this book is suitable for a beginning graduate level regression course." ( Journal of Statistical Computation and Simulation , July 2005) "...revises and expands the standard text, providing extensive coverage of state-of-the-art theory..." ( Zentralblatt Math , Vol. 1029, 2004) "...largely rewritten...very useful for self-study...an excellent choice for a course in linear models and researchers who are interested in recent literature in the fields..." ( Technometrics , Vol. 45, No. 4, November 2003) "...rewritten to reflect current thinking, such as the major advances in computing during the past 25 years." ( Quarterly of Applied Mathematics , Vol. LXI, No. 3, September 2003)More details
Language
English
Place of publication
Chicester
United Kingdom
Publishing group
John Wiley and Sons Ltd
Target group
Professional and scholarly
Dimensions
Height: 250 mm
Width: 150 mm
Thickness: 15 mm
Weight
666 gr
ISBN-13
978-0-471-72219-9 (9780471722199)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

George A. F. Seber | Alan J. Lee
Linear Regression Analysis
E-Book
01/2012
2nd Edition
Wiley
€174.99
Available for download
Person
GEORGE A. F. SEBER, PhD, is Professor Emeritus of Statistics at the University of Auckland, New Zealand. ALAN J. LEE, PhD, is the Chairman of the Department of Statistics at the University of Auckland.
Content
Preface. 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. Index.