Matrices for Statistics
Healy(Author)
Oxford University Press
2nd Edition
Published on 1. August 2000
Book
Hardback
158 pages
978-0-19-850703-1 (ISBN)
Description
Multiple regression, linear modelling, and multivariate analysis are among the most useful statistical methods for the elucidation of complicated data, and all of them are most easily explained in matrix terms. Those concerned with the analysis of data needs to be familiar with these methods and a knowledge of matrices is essential in order to understand the literature in which they are described. This knowledge must include some advanced topics, but can do without much of the material covered by general textbooks of matrix algebra. This book is intended to cover the necessary ground as briefly as possible. Only the simplest of basic mathematics is used, and the book should be accessible to engineers, biologists, and social scientists as well as those with a specifically mathematical background. The text of the first edition has been re-written and revised to take account of recent developments in statistical practice. The more difficult topics have been expanded and the mathematical explanations have been simplified. A new chapter has been included, at readers' request, to cover such topics as vectorising, matrix calculus and complex numbers.
More details
Edition
2nd Revised edition
Language
English
Place of publication
Oxford
United Kingdom
Target group
Professional and scholarly
Edition type
Revised edition
Illustrations
illustrations
ISBN-13
978-0-19-850703-1 (9780198507031)
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Schweitzer Classification
Other editions
Previous edition
M.J.R. Healy
Matrices for Statistics
Book
01/1987
Oxford University Press
€20.43
Article exhausted; check for reprint
Content
Introducing matrices; determinants; inverse matrices; linear dependence and rank; simultaneous equations and generalized inverses; linear spaces; quadratic forms and eigensystems.