{"product_id":"9781118935156","title":"Matrix Algebra Useful for Statistics","description":"\u003cp\u003e\u003cb\u003eA thoroughly updated guide to matrix algebra and it uses in statistical analysis and features SAS®, MATLAB®, and R throughout\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThis \u003ci\u003eSecond Edition \u003c\/i\u003eaddresses matrix algebra that is useful in the statistical analysis of data as well as within statistics as a whole. The material is presented in an explanatory style rather than a formal theorem-proof format and is self-contained. Featuring numerous applied illustrations, numerical examples, and exercises, the book has been updated to include the use of SAS, MATLAB, and R for the execution of matrix computations. In addition, André I. Khuri, who has extensive research and teaching experience in the field, joins this new edition as co-author. The \u003ci\u003eSecond Edition \u003c\/i\u003ealso:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eContains new coverage on vector spaces and linear transformations and discusses computational aspects of matrices\u003c\/li\u003e \u003cli\u003eCovers the analysis of balanced linear models using direct products of matrices\u003c\/li\u003e \u003cli\u003eAnalyzes multiresponse linear models where several responses can be of interest\u003c\/li\u003e \u003cli\u003eIncludes extensive use of SAS, MATLAB, and R throughout\u003c\/li\u003e \u003cli\u003eContains over 400 examples and exercises to reinforce understanding along with select solutions\u003c\/li\u003e \u003cli\u003eIncludes plentiful new illustrations depicting the importance of geometry as well as historical interludes\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eMatrix Algebra Useful for Statistics, Second Edition \u003c\/i\u003eis an ideal textbook for advanced undergraduate and first-year graduate level courses in statistics and other related disciplines. The book is also appropriate as a reference for independent readers who use statistics and wish to improve their knowledge of matrix algebra.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eTHE LATE SHAYLE R. SEARLE, PHD, \u003c\/b\u003ewas professor emeritus of biometry at Cornell University. He was the author of \u003ci\u003eLinear Models for Unbalanced Data \u003c\/i\u003eand \u003ci\u003eLinear Models \u003c\/i\u003eand co-author of \u003ci\u003eGeneralized, Linear, and Mixed Models, Second Edition, Matrix Algebra for Applied Economics, \u003c\/i\u003eand \u003ci\u003eVariance Components, \u003c\/i\u003eall published by Wiley. Dr. Searle received the Alexander von Humboldt Senior Scientist Award, and he was an honorary fellow of the Royal Society of New Zealand.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eANDRÉ I. KHURI, PHD, \u003c\/b\u003eis Professor Emeritus of Statistics at the University of Florida. He is the author of \u003ci\u003eAdvanced Calculus with Applications in Statistics, Second Edition \u003c\/i\u003eand co-author of \u003ci\u003eStatistical Tests for Mixed Linear Models, \u003c\/i\u003eall published by Wiley. Dr. Khuri is a member of numerous academic associations, among them the American Statistical Association and the Institute of Mathematical Statistics.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47118434664688,"sku":"9781118935156","price":135.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781118935156_p0.jpg?v=1763695962","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781118935156","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}