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| #454704 in Books | 2000-07-13 | Original language:English | PDF # 1 | 9.10 x.40 x6.00l,.51 | File type: PDF | 160 pages||27 of 27 people found the following review helpful.| another good matrix algebra book with a statistical point of view|By Michael R. Chernick|This book gives a very concise treatment fo matrix algebra, covering from first principles the basic mathematics. It is oriented toward statistical applications such as the least squares solution in regression, concepts of principal components and other multivariate statistical topics whe|||From the reviews of the first edition '...this should be a valuable handbook for a great variety of statistical users.' Short Book s of the International Statistics Institute '...a g
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. Anyone 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 mu...
You easily download any file type for your device.Matrices for Statistics | M. J. R. Healy. I was recommended this book by a dear friend of mine.
