An up-to-date version of the complete, self-contained introduction to matrix analysis theory and practice
Providing accessible and in-depth coverage of the most common matrix methods now used in statistical applications, Matrix Analysis for Statistics, Third Edition features an easy-to-follow theorem/proof format. Featuring smooth transitions between topical coverage, the author carefully justifies the step-by-step process of the most common matrix methods now used in statistical applications, including eigenvalues and eigenvectors; the Moore-Penrose inverse; matrix differentiation; and the distribution of quadratic forms.
An ideal introduction to matrix analysis theory and practice, Matrix Analysis for Statistics, Third Edition features:
· New chapter or section coverage on inequalities, oblique projections, and antieigenvalues and antieigenvectors
· Additional problems and chapter-end practice exercises at the end of each chapter
· Extensive examples that are familiar and easy to understand
· Self-contained chapters for flexibility in topic choice
· Applications of matrix methods in least squares regression and the analyses of mean vectors and covariance matrices
Matrix Analysis for Statistics, Third Edition is an ideal textbook for upper-undergraduate and graduate-level courses on matrix methods, multivariate analysis, and linear models. The book is also an excellent reference for research professionals in applied statistics.
James R. Schott, PhD, is Professor in the Department of Statistics at the University of Central Florida. He has published numerous journal articles in the area of multivariate analysis. Dr. Schott’s research interests include multivariate analysis, analysis of covariance and correlation matrices, and dimensionality reduction techniques.
"synopsis" may belong to another edition of this title.
"About this title" may belong to another edition of this title.
Shipping:
FREE
Within U.S.A.
Book Description Condition: New. Buy with confidence! Book is in new, never-used condition 2.15. Seller Inventory # bk1119092485xvz189zvxnew
Book Description Condition: New. Seller Inventory # 24753568-n
Book Description Condition: New. Seller Inventory # 24753568-n
Book Description Condition: new. Seller Inventory # bce10c9833275aeeb8de966e0e96b0e1
Book Description hardback. Condition: New. Language: ENG. Seller Inventory # 9781119092483
Book Description HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # FW-9781119092483
Book Description Hardback. Condition: New. New copy - Usually dispatched within 4 working days. Seller Inventory # B9781119092483
Book Description Condition: New. In. Seller Inventory # ria9781119092483_new
Book Description Condition: New. Seller Inventory # ABLIING23Mar2317530297092
Book Description Condition: New. An up-to-date version of the complete, self-contained introduction to matrix analysis theory and practiceProviding accessible and in-depth coverage of the most common matrix methods now used in statistical applications, Matrix Analysis for Statistics, Third. Seller Inventory # 447234227