Linear Regression Analysis (Wiley Series in Probability and Statistics)

Seber, George A. F.

ISBN 10: 0471019674 / ISBN 13: 9780471019671

Published by Wiley-Interscience, 1977

About this Item

This is a fine, unmarked, hardcover first edition, 9th printing copy in blue-gray cloth binding, no DJ. 465 pages with index.

Seller Inventory # 102986

Bibliographic Details

• Title: Linear Regression Analysis (Wiley Series in Probability and Statistics)
• Publisher: Wiley-Interscience
• Publication Date: 1977
• Language: English
• ISBN 10: 0471019674
• ISBN 13: 9780471019671
• Binding: Hardcover
• Edition: 1st Edition
• Printing: 5th or later Printin
• Condition: Fine
• Dust Jacket Condition: No Jacket

About this title

Synopsis

Description: Regression analysis is an often used tool in the statistician's toolbox. This new edition takes into serious consideration the furthering development of regression computer programs that are efficient, accurate, and considered an important part of statistical research. The book provides up-to-date accounts of computational methods and algorithms currently in use without getting entrenched in minor computing details.

From the Back Cover

An extensive treatment of a key method in the statistician’s toolbox

For more than two decades, the First Edition of Linear Regression Analysis has been an authoritative resource for one of the most common methods of handling statistical data. There have been many advances in the field over the last twenty years, including the development of more efficient and accurate regression computer programs, new ways of fitting regressions, and new methods of model selection and prediction. Linear Regression Analysis, Second Edition, revises and expands this standard text, providing extensive coverage of state-of-the-art theory and applications of linear regression analysis.

Requiring no specialized knowledge beyond a good grasp of matrix algebra and some acquaintance with straight-line regression and simple analysis of variance models, this new edition features:

• Up-to-date accounts of computational methods and algorithms currently in use without getting entrenched in minor computing details
• A careful and detailed survey of the research literature, making this a highly useful reference
• Expanded coverage of diagnostics, and more discussion of methods of model fitting, model selection and prediction
• More than 200 problems throughout the book plus outline solutions

Concise, mathematically clear, and comprehensive, Linear Regression Analysis, Second Edition, serves as both a reliable reference for the practitioner and a valuable textbook for the student.