Methods and Applications of Linear Models
Regression and the Analysis of Variance
Ronald R. Hocking(Author)
Wiley (Publisher)
Published on 27. June 1996
Book
Mixed media product
736 pages
978-0-471-59282-2 (ISBN)
Article exhausted; check for reprint
Description
Linear models are used to describe data in statistical analysis, and the analysis of variance is used to estimate and make inferences about the means of populations. Although extensive literature exists on the methods of analyzing data in the context of linear models, there is a lack of agreement on the appropriate analysis and some confusion over the application of existing methods. This book aims to present methods in a conceptually simple way so the reader may more easily understand the applications of the methods. It contains a balance of theory and applications and there is a solutions manual and data sets disk included.
More details
Series
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Illustrations
Illustrations
Dimensions
Height: 229 mm
Width: 152 mm
Weight
1219 gr
ISBN-13
978-0-471-59282-2 (9780471592822)
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Schweitzer Classification
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Book
04/2003
2nd Edition
Wiley
€155.00
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Content
Partial table of contents:; INTRODUCTION AND BASIC THEORY; Introduction to Linear Models; Estimation and Inference In Simple Linear Models; REGRESSION MODELS; Transforming the Data and Miscellaneous Topics; Regression on Functions of Several Variables; Influential Observations in Multiple Linear Regression; Related Topics; ANALYSIS OF VARIANCE MODELS; Fixed Effect Models: I. Single-Factor Classification of Means; Fixed Effects Models: III; Nested Factors and General Structure; Mixed Effects Models: II.The AVE Method; Mixed Effects Models: III; Unbalanced Data; Appendices; References; Index.