
Linear Regression Analysis
Wiley (Publisher)
2nd Edition
Published on 25. February 2003
Book
Hardback
582 pages
978-0-471-41540-4 (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
Series
Edition
2. Auflage
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Edition type
New edition
Product notice
sewn/stitched
Cloth over boards
Illustrations
Charts: 2 B&W, 0 Color; Drawings: 5 B&W, 0 Color; Tables: 21 B&W, 0 Color; Graphs: 18 B&W, 0 Color
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 36 mm
Weight
1032 gr
ISBN-13
978-0-471-41540-4 (9780471415404)
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
Previous edition
G. A. F. Seber
Linear Regression Analysis
Book
01/1977
2nd Edition
Wiley
€146.08
Article exhausted; check for reprint
Persons
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.