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Linear Statistical Models by James H. Stapleton is a nonfiction available to read on EtoBox.

What is Linear Statistical Models about?

<p>Linear Statistical Models Developed and refined over a period of twenty years, the material in this book offers an especially lucid presentation of linear statistical models. These models lead to what is usually called "multiple regression" or "analysis of variance" methodology, which, in turn, opens up a wide range of applications to the physical, biological, and social sciences, as well as to business, agriculture, and engineering. Unlike similar books on this topic, Linear Statistical Models emphasizes the geometry of vector spaces because of the intuitive insights this approach brings to an understanding of the theory. While the focus is on theory, examples of applications, using the SAS and S-Plus packages, are included. Prerequisites include some familiarity with linear algebra, and probability and statistics at the postcalculus level. Major topics covered include:<br> * Methods of study of random vectors, including the multivariate normal, chi-square, t and F distributions, central and noncentral<br> * The linear model and the basic theory of regression analysis and the analysis of variance<br> * Multiple regression methods, including transformations, analysis of residual

Who reads Linear Statistical Models?

Author

James H. Stapleton

Publisher

John Wiley & Sons;Wiley Interscience

Published

1995

Language

EN

ISBN

9780470316924

Category

nonfiction

Subjects

Mathematics, Stem