This book is about generalized linear models as described by NeIder
and Wedderburn (1972). This approach provides a unified theoretical
and computational framework for the most commonly used statistical
methods: regression, analysis of variance and covariance, logistic
regression, log-linear models for contingency tables and several
more specialized techniques. More advanced expositions of the
subject are given by McCullagh and NeIder (1983) and Andersen
(1980). The emphasis is on the use of statistical models to
investigate substantive questions rather than to produce
mathematical descriptions of the data. Therefore parameter
estimation and hypothesis testing are stressed. I have assumed that
the reader is familiar with the most commonly used statistical
concepts and methods and has some basic knowledge of calculus and
matrix algebra. Short numerical examples are used to illustrate the
main points. In writing this book I have been helped greatly by the
comments and criticism of my students and colleagues, especially
Anne Young. However, the choice of material, and the obscurities
and errors are my responsibility and I apologize to the reader for
any irritation caused by them. For typing the manuscript under
difficult conditions I am grateful to Anne McKim, Jan Garnsey, Cath
Claydon and Julie Latimer.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
