Linear Models
Published on 8. April 1997
Book
Paperback/Softback
560 pages
978-0-471-18499-7 (ISBN)
Description
This 1971 classic on linear models is once again available--as a Wiley Classics Library Edition. It features material that can be understood by any statistician who understands matrix algebra and basic statistical methods.
More details
Series
Edition
Revised edition
Language
English
Place of publication
United States
Publishing group
John Wiley & Sons Inc
Target group
College/higher education
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 33 mm
Weight
895 gr
ISBN-13
978-0-471-18499-7 (9780471184997)
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
Person
Shayle R. Searle, PhD, is Professor Emeritus in the Department of Biological Statistics and Computational Biology at Cornell University. Dr. Searle is the author of Linear Models, Linear Models for Unbalanced Data, Matrix Algebra Useful for Statistics, and Variance Components, all published by Wiley.
Content
Generalized Inverse Matrices.
Distributions and Quadratic Forms.
Regression, or the Full Rank Model.
Introducing Linear Models: Regression on Dummy Variables.
Models Not of Full Rank.
Two Elementary Models.
The 2-Way Crossed Classification.
Some Other Analyses.
Introduction to Variance Components.
Methods of Estimating Variance Components from UnbalancedData.
Variance Component Estimation from Unbalanced Data: Formulae.
Literature Cited.
Statistical Tables.
Index.
Distributions and Quadratic Forms.
Regression, or the Full Rank Model.
Introducing Linear Models: Regression on Dummy Variables.
Models Not of Full Rank.
Two Elementary Models.
The 2-Way Crossed Classification.
Some Other Analyses.
Introduction to Variance Components.
Methods of Estimating Variance Components from UnbalancedData.
Variance Component Estimation from Unbalanced Data: Formulae.
Literature Cited.
Statistical Tables.
Index.