This book presents the fundamentals of multiple regression, linear modelling, multivariate analysis, and other statistical methods for the elucidation of complicated data. The author uses the basic terms of matrix algebra to provide a clear and accessible guide for biologists, engineers, students of statistics, and others concerned with data analysis. Numerical methods for matrices are described and the book contains a set of algorithms to make such methods generally available.
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M. J. R. Healy is at University of London (Emeritus).
From the reviews of the first edition '...this should be a valuable handbook for a great variety of statistical users.' Short Book Reviews of the International Statistics Institute '...a good reference book for the serious student.' Journal of the American Statistical Association '...a very worthwhile addition to anyone's shelf. Teaching Statistics 'I recommend it.' Technometrics
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