Applied Matrix Algebra in the Statistical Sciences

Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book Applied Matrix Algebra in the Statistical Sciences by Alexander Basilevsky, Dover Publications
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Alexander Basilevsky ISBN: 9780486153377
Publisher: Dover Publications Publication: January 18, 2013
Imprint: Dover Publications Language: English
Author: Alexander Basilevsky
ISBN: 9780486153377
Publisher: Dover Publications
Publication: January 18, 2013
Imprint: Dover Publications
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Dover Publications

Cover of the book New York Life at the Turn of the Century in Photographs by Alexander Basilevsky
Cover of the book The Mummy! by Alexander Basilevsky
Cover of the book Figure Sculpture in Wax and Plaster by Alexander Basilevsky
Cover of the book The Berenstain Bears' Big Book of Science and Nature by Alexander Basilevsky
Cover of the book The Science of Measurement by Alexander Basilevsky
Cover of the book The Yoga Sutras of Patanjali by Alexander Basilevsky
Cover of the book Taxicab Geometry by Alexander Basilevsky
Cover of the book The Subjectivity of Scientists and the Bayesian Approach by Alexander Basilevsky
Cover of the book Curvature in Mathematics and Physics by Alexander Basilevsky
Cover of the book A First Course in Graph Theory by Alexander Basilevsky
Cover of the book Don Giovanni by Alexander Basilevsky
Cover of the book Statistical Mechanics by Alexander Basilevsky
Cover of the book Statistical Physics by Alexander Basilevsky
Cover of the book From the Earth to the Moon by Alexander Basilevsky
Cover of the book W. E. B. Du Bois: Selections from His Writings by Alexander Basilevsky
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy