{"product_id":"a-matrix-handbook-for-statisticians-9780471748694","title":"A Matrix Handbook for Statisticians","description":"A comprehensive, must-have handbook of matrix methods with a unique emphasis on statistical applications \u003cp\u003eThis timely book, A Matrix Handbook for Statisticians, provides a comprehensive, encyclopedic treatment of matrices as they relate to both statistical concepts and methodologies. Written by an experienced authority on matrices and statistical theory, this handbook is organized by topic rather than mathematical developments and includes numerous references to both the theory behind the methods and the applications of the methods. A uniform approach is applied to each chapter, which contains four parts: a definition followed by a list of results; a short list of references to related topics in the book; one or more references to proofs; and references to applications. The use of extensive cross-referencing to topics within the book and external referencing to proofs allows for definitions to be located easily as well as interrelationships among subject areas to be recognized.\u003c\/p\u003e \u003cp\u003eA Matrix Handbook for Statisticians addresses the need for matrix theory topics to be presented together in one book and features a collection of topics not found elsewhere under one cover. These topics include: \u003c\/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eComplex matrices\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eA wide range of special matrices and their properties\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eSpecial products and operators, such as the Kronecker product\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003ePartitioned and patterned matrices\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eMatrix analysis and approximation\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eMatrix optimization\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eMajorization\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eRandom vectors and matrices\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eInequalities, such as probabilistic inequalities\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eAdditional topics, such as rank, eigenvalues, determinants, norms, generalized inverses, linear and quadratic equations, differentiation, and Jacobians, are also included. The book assumes a fundamental knowledge of vectors and matrices, maintains a reasonable level of abstraction when appropriate, and provides a comprehensive compendium of linear algebra results with use or potential use in statistics. A Matrix Handbook for Statisticians is an essential, one-of-a-kind book for graduate-level courses in advanced statistical studies including linear and nonlinear models, multivariate analysis, and statistical computing. It also serves as an excellent self-study guide for statistical researchers.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e George A. F. Seber\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Wiley-Interscience\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 12\/01\/2007\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 592\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 2.11lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.29h x 6.61w x 1.32d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9780471748694\u003cbr\u003e\u003cbr\u003e\u003cb\u003eReview Citation(s): \u003c\/b\u003e\u003cbr\u003e\u003ci\u003eScitech Book News\u003c\/i\u003e 03\/01\/2008 pg. 30\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eGeorge A. F. Seber\u003c\/b\u003e, PhD, is Emeritus Professor in the Department of Statistics at The University of Auckland in New Zealand. A Fellow of the New Zealand Royal Society, he is the author or coauthor of several books, including Nonlinear Regression, Multivariate Observations, Adaptive Sampling, Chance Encounters, and Linear Regression Analysis, Second Edition, all published by Wiley. Dr. Seber's research interests have included statistical ecology, genetics, epidemiology, and adaptive sampling.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003ci\u003eThis title is not returnable\u003c\/i\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Wiley-Interscience","offers":[{"title":"Hardcover","offer_id":40011766169715,"sku":"9.78E+12","price":154.95,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0555\/9255\/0515\/products\/img_d90f0a34-d7ea-495f-ba2e-b115797dd9ed.jpg?v=1650490627","url":"https:\/\/bookstorenmore.com\/en-de\/products\/a-matrix-handbook-for-statisticians-9780471748694","provider":"Bookstore N More","version":"1.0","type":"link"}