This comprehensive text covers both applied and theoretical branches of matrix algebra in the statistical sciences. It also provides a bridge between linear algebra and statistical models. Appropriate for advanced undergraduate and graduate students, the self-contained treatment also constitutes a handy reference for researchers. The only mathematical background necessary is a sound knowledge of high school mathematics and a first course in statistics.
Consisting of two interrelated parts, this volume begins with the basic structure of vectors and vector spaces. The latter part emphasizes the diverse properties of matrices and their associated linear transformations--and how these, in turn, depend upon results derived from linear vector spaces. An overview of introductory concepts leads to more advanced topics such as latent roots and vectors, generalized inverses, and nonnegative matrices. Each chapter concludes with a section on real-world statistical applications, plus exercises that offer concrete examples of the applications of matrix algebra.
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About the author ALEXANDER BASILEVSKY is Professor of Mathematics and Statistics at the University of Winnipeg. He frequently serves as a professional consultant to both government and industry. In addition to numerous scholarly papers and government reports, Professor Basilevsky is the author of Applied Matrix Algebra in Statistical Sciences and coauthor of An Analysis of the U.S. Income Maintenance Experiments. He is a member of the Canadian Statistical Association, the American Statistical Association, and the Statistical Association of Manitoba, of which he is former president-at-large. Professor Basilevsky received his PhD in statistics/econometrics from the University of Southampton, England.
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Paperback. Condition: Good. This comprehensive text covers both applied and theoretical branches of matrix algebra in the statistical sciences. It begins by dealing with the basic structure of vectors and vector spaces and then emphasizes the diverse properties of matrices and their associated linear transformations -- and how these, in turn, depend upon results derived from linear vector spaces.1983 edition. Seller Inventory # 00102256603
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Paperback. Condition: Good. This comprehensive text covers both applied and theoretical branches of matrix algebra in the statistical sciences. It begins by dealing with the basic structure of vectors and vector spaces and then emphasizes the diverse properties of matrices and their associated linear transformations -- and how these, in turn, depend upon results derived from linear vector spaces.1983 edition. Seller Inventory # CIN0486445380G
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