{"id":64221,"date":"2025-04-24T12:33:31","date_gmt":"2025-04-24T12:33:31","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d8%ac%d8%a8%d8%b1-%d9%85%d8%a7%d8%aa%d8%b1%db%8c%d8%b3%db%8c-%d9%85%d9%81%db%8c%d8%af-%d8%a8%d8%b1%d8%a7%db%8c-%d8%a2%d9%85%d8%a7%d8%b1\/"},"modified":"2025-04-24T09:04:30","modified_gmt":"2025-04-24T09:04:30","slug":"%da%a9%d8%aa%d8%a7%d8%a8-%d8%ac%d8%a8%d8%b1-%d9%85%d8%a7%d8%aa%d8%b1%db%8c%d8%b3%db%8c-%d9%85%d9%81%db%8c%d8%af-%d8%a8%d8%b1%d8%a7%db%8c-%d8%a2%d9%85%d8%a7%d8%b1","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d8%ac%d8%a8%d8%b1-%d9%85%d8%a7%d8%aa%d8%b1%db%8c%d8%b3%db%8c-%d9%85%d9%81%db%8c%d8%af-%d8%a8%d8%b1%d8%a7%db%8c-%d8%a2%d9%85%d8%a7%d8%b1\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u062c\u0628\u0631 \u0645\u0627\u062a\u0631\u06cc\u0633\u06cc \u0645\u0641\u06cc\u062f \u0628\u0631\u0627\u06cc \u0622\u0645\u0627\u0631"},"content":{"rendered":"<p>&nbsp;<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" title=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Matrix Algebra Useful for Statistics, 2nd Edition (Wiley Series in Probability and Statistics)\" src=\"https:\/\/express24.ir\/d\/wp-content\/uploads\/2025\/04\/9781118935149.jpg\" alt=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Matrix Algebra Useful for Statistics, 2nd Edition (Wiley Series in Probability and Statistics)\" \/><\/div>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\n<h3>\u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc:<\/h3>\n<\/td>\n<td>\n<h3>Matrix Algebra Useful for Statistics, 2nd Edition (Wiley Series in Probability and Statistics)<\/h3>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0633\u0627\u0644 \u0627\u0646\u062a\u0634\u0627\u0631: 2017\u00a0\u00a0|\u00a0\u00a0706 \u0635\u0641\u062d\u0647\u00a0\u00a0|\u00a0\u00a0\u062d\u062c\u0645 \u0641\u0627\u06cc\u0644: 26 \u0645\u06af\u0627\u0628\u0627\u06cc\u062a\u00a0\u00a0|\u00a0\u00a0\u0632\u0628\u0627\u0646: \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0646\u0648\u06cc\u0633\u0646\u062f\u0647<\/td>\n<td>Shayle R. Searle, Andre I. Khuri<\/td>\n<\/tr>\n<tr>\n<td>\u0646\u0627\u0634\u0631<\/td>\n<td>Wiley<\/td>\n<\/tr>\n<tr>\n<td>ISBN10:<\/td>\n<td>1118935144<\/td>\n<\/tr>\n<tr>\n<td>ISBN13:<\/td>\n<td>9781118935149<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628<\/h2>\n<div style=\"direction: ltr;\">\n<p>A thoroughly updated guide to matrix algebra and it uses in statistical analysis and features SAS\u00ae, MATLAB\u00ae, and R throughout<\/p>\n<p>This Second Edition addresses 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, Andr\u00e9 I. Khuri, who has extensive research and teaching experience in the field, joins this new edition as co-author. The Second Edition also:<\/p>\n<p>Contains new coverage on vector spaces and linear transformations and discusses computational aspects of matrices<br \/>\nCovers the analysis of balanced linear models using direct products of matrices<br \/>\nAnalyzes multiresponse linear models where several responses can be of interest<br \/>\nIncludes extensive use of SAS, MATLAB, and R throughout<br \/>\nContains over 400 examples and exercises to reinforce understanding along with select solutions<br \/>\nIncludes plentiful new illustrations depicting the importance of geometry as well as historical interludes<\/p>\n<p>Matrix Algebra Useful for Statistics, Second Edition is 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.<\/p>\n<p>THE LATE SHAYLE R. SEARLE, PHD, was professor emeritus of biometry at Cornell University. He was the author of Linear Models for Unbalanced Data and Linear Models and co-author of Generalized, Linear, and Mixed Models, Second Edition, Matrix Algebra for Applied Economics, and Variance Components, all 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.<\/p>\n<p>ANDR\u00c9 I. KHURI, PHD, is Professor Emeritus of Statistics at the University of Florida. He is the author of Advanced Calculus with Applications in Statistics, Second Edition and co-author of Statistical Tests for Mixed Linear Models, all published by Wiley. Dr. Khuri is a member of numerous academic associations, among them the American Statistical Association and the Institute of Mathematical Statistics.<\/p>\n<\/div>\n<h2>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062a\u0631\u062c\u0645\u0647 \u0645\u0627\u0634\u06cc\u0646\u06cc)<\/h2>\n<p>\u06cc\u06a9 \u0631\u0627\u0647\u0646\u0645\u0627\u06cc \u06a9\u0627\u0645\u0644\u0627\u064b \u0628\u0647 \u0631\u0648\u0632 \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u062c\u0628\u0631 \u0645\u0627\u062a\u0631\u06cc\u0633 \u0648 \u0627\u0632 \u0622\u0646 \u062f\u0631 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0622\u0645\u0627\u0631\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u062f \u0648 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc SAS\u00ae \u060c MATLAB\u00ae \u0648 R \u0631\u0627 \u062f\u0631 \u06a9\u0644 \u0627\u0632 \u0622\u0646 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\u062e\u0648\u062f \u062f\u0631 \u0645\u0648\u0631\u062f \u062c\u0628\u0631 \u0645\u0627\u062a\u0631\u06cc\u0633 \u0647\u0633\u062a\u0646\u062f \u060c \u0645\u0646\u0627\u0633\u0628 \u0627\u0633\u062a.<\/p>\n<p>\u062f\u06a9\u062a\u0631\u06cc \u0645\u0631\u062d\u0648\u0645 Shayle R. Searle \u060c \u0627\u0633\u062a\u0627\u062f \u0628\u0631\u062c\u0633\u062a\u0647 \u0628\u06cc\u0648\u0645\u062a\u0631\u06cc \u062f\u0631 \u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u06a9\u0631\u0646\u0644 \u0628\u0648\u062f.\u0648\u06cc \u0646\u0648\u06cc\u0633\u0646\u062f\u0647 \u0645\u062f\u0644\u0647\u0627\u06cc \u062e\u0637\u06cc \u0628\u0631\u0627\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0646\u0627\u0645\u062a\u0639\u0627\u062f\u0644 \u0648 \u0645\u062f\u0644\u0647\u0627\u06cc \u062e\u0637\u06cc \u0648 \u0646\u0648\u06cc\u0633\u0646\u062f\u0647 \u0645\u062f\u0644\u0647\u0627\u06cc \u0639\u0645\u0648\u0645\u06cc \u060c \u062e\u0637\u06cc \u0648 \u0645\u062e\u062a\u0644\u0637 \u060c \u0686\u0627\u067e \u062f\u0648\u0645 \u060c \u062c\u0628\u0631 \u0645\u0627\u062a\u0631\u06cc\u0633 \u0628\u0631\u0627\u06cc \u0627\u0642\u062a\u0635\u0627\u062f \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u0648 \u0645\u0624\u0644\u0641\u0647 \u0647\u0627\u06cc \u0648\u0627\u0631\u06cc\u0627\u0646\u0633 \u060c \u0647\u0645\u0647 \u062a\u0648\u0633\u0637 \u0648\u06cc\u0644\u06cc \u0645\u0646\u062a\u0634\u0631 \u0634\u062f\u0647 \u0627\u0633\u062a.\u062f\u06a9\u062a\u0631 Searle \u062c\u0627\u06cc\u0632\u0647 \u062f\u0627\u0646\u0634\u0645\u0646\u062f \u0627\u0631\u0634\u062f \u0627\u0644\u0643\u0633\u0627\u0646\u062f\u0631 \u0641\u0648\u0646 \u0647\u0627\u0645\u0628\u0648\u0644\u062a \u0631\u0627 \u062f\u0631\u06cc\u0627\u0641\u062a \u0643\u0631\u062f \u0648 \u0627\u0648 \u06cc\u0643\u06cc \u0627\u0632 \u0647\u0645\u0643\u0627\u0631\u0627\u0646 \u0627\u0641\u062a\u062e\u0627\u0631\u06cc \u0627\u0646\u062c\u0645\u0646 \u0633\u0644\u0637\u0646\u062a\u06cc \u0646\u06cc\u0648\u0632\u06cc\u0644\u0646\u062f \u0628\u0648\u062f.<\/p>\n<p>\u0622\u0646\u062f\u0631\u0647 \u0627\u0648\u0644 \u062e\u0648\u0631\u06cc \u060c \u062f\u06a9\u062a\u0631\u0627 \u060c \u0627\u0633\u062a\u0627\u062f \u0628\u0631\u062c\u0633\u062a\u0647 \u0622\u0645\u0627\u0631 \u062f\u0631 \u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0641\u0644\u0648\u0631\u06cc\u062f\u0627 \u0627\u0633\u062a.\u0648\u06cc \u0646\u0648\u06cc\u0633\u0646\u062f\u0647 \u062d\u0633\u0627\u0628 Advanced Calculus \u0628\u0627 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u062f\u0631 \u0622\u0645\u0627\u0631 \u060c \u0686\u0627\u067e \u062f\u0648\u0645 \u0648 \u0646\u0648\u06cc\u0633\u0646\u062f\u0647 \u062a\u0633\u062a \u0647\u0627\u06cc \u0622\u0645\u0627\u0631\u06cc \u0628\u0631\u0627\u06cc \u0645\u062f\u0644\u0647\u0627\u06cc \u062e\u0637\u06cc \u0645\u062e\u062a\u0644\u0637 \u060c \u0647\u0645\u0647 \u062a\u0648\u0633\u0637 \u0648\u06cc\u0644\u06cc \u0645\u0646\u062a\u0634\u0631 \u0634\u062f\u0647 \u0627\u0633\u062a.\u062f\u06a9\u062a\u0631 \u062e\u0648\u0631\u06cc \u0639\u0636\u0648 \u0628\u0633\u06cc\u0627\u0631\u06cc \u0627\u0632 \u0627\u0646\u062c\u0645\u0646 \u0647\u0627\u06cc \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0627\u0632 \u062c\u0645\u0644\u0647 \u0622\u0646\u0647\u0627 \u0627\u0646\u062c\u0645\u0646 \u0622\u0645\u0627\u0631\u06cc \u0622\u0645\u0631\u06cc\u06a9\u0627 \u0648 \u0627\u0646\u0633\u062a\u06cc\u062a\u0648\u06cc \u0622\u0645\u0627\u0631 \u0631\u06cc\u0627\u0636\u06cc \u0627\u0633\u062a.<br \/>\n<br \/>\r\n<table class=\"table table-bordered\">\r\n\t\r\n\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0627\u06cc\u0646 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc \u0627\u0633\u062a \u0648 \u0646\u0647 \u06a9\u062a\u0627\u0628 \u06a9\u0627\u063a\u0630\u06cc.\r\n\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\r\n\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u0628\u0647 \u0647\u0646\u06af\u0627\u0645 \u062e\u0631\u06cc\u062f \u0628\u0647 \u0632\u0628\u0627\u0646 \u062f\u0631\u062c \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u06a9\u062a\u0627\u0628 \u062d\u062a\u0645\u0627 \u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f. \u0628\u0647 \u0635\u0648\u0631\u062a \u0645\u0639\u0645\u0648\u0644 \u062f\u0631 \u0627\u06a9\u062b\u0631 \u0645\u0648\u0627\u0631\u062f \u0632\u0628\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0641\u0627\u0631\u0633\u06cc \u0646\u06cc\u0633\u062a.\r\n\r\n\t\t<\/td>\r\n\t<\/tr>\t\r\n\r\n\t\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062f\u0631 \u0635\u0648\u0631\u062a \u0647\u0631\u06af\u0648\u0646\u0647 \u0645\u0634\u06a9\u0644 \u062f\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0634\u0645\u0627\u0631\u0647 09395106248 \u067e\u06cc\u0627\u0645\u06a9 \u062f\u0647\u06cc\u062f. \r\n\t\t<\/td>\r\n\t<\/tr>\t\r\n\t\r\n\t\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062f\u0631\u062c \u0634\u0645\u0627\u0631\u0647 \u0645\u0648\u0628\u0627\u06cc\u0644 \u0628\u0631\u0627\u06cc \u0633\u0641\u0627\u0631\u0634 \u0636\u0631\u0648\u0631\u06cc \u0646\u06cc\u0633\u062a \u0648\u0644\u06cc \u062a\u0631\u062c\u06cc\u062d \u0622\u0646 \u0627\u0633\u062a \u062f\u0631\u062c \u06af\u0631\u062f\u062f \u062a\u0627 \u062f\u0631 \u0635\u0648\u0631\u062a \u0628\u0631\u0648\u0632 \u0645\u0634\u06a9\u0644 \u0627\u0648\u0644\u06cc\u0646 \u0631\u0627\u0647 \u0627\u0631\u062a\u0628\u0627\u0637\u06cc \u0645\u0627 \u0628\u0627 \u0634\u0645\u0627 \u0628\u0627\u0634\u062f.\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\t\r\n\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\t\t\t\u0686\u0646\u0627\u0646\u0686\u0647 \u062f\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0647\u0631 \u062f\u0644\u06cc\u0644\u06cc \u0628\u0627 \u0645\u0634\u06a9\u0644 \u0631\u0648\u0628\u0631\u0648 \u0634\u062f\u06cc\u062f \u0648 \u0645\u0637\u0645\u0626\u0646 \u0627\u0632 \u067e\u0631\u062f\u0627\u062e\u062a \u0645\u0648\u0641\u0642 \u0648\u062c\u0647 \u0647\u0633\u062a\u06cc\u062f \u0628\u0647 \u0634\u0645\u0627\u0631\u0647 \u062a\u0645\u0627\u0633 \u0632\u06cc\u0631 \u0646\u0627\u0645\u060c \u0646\u0627\u0645 \u062e\u0627\u0646\u0648\u0627\u062f\u06af\u06cc \u0648 \u0646\u0627\u0645 \u0645\u062d\u0635\u0648\u0644 \u0631\u0627 \u067e\u06cc\u0627\u0645\u06a9 \u0628\u0632\u0646\u06cc\u062f \u062a\u0627 \u0644\u06cc\u0646\u06a9 \u0645\u062d\u0635\u0648\u0644 \u0633\u0631\u06cc\u0639\u0627 \u0628\u0631\u0627\u06cc \u0634\u0645\u0627 \u0627\u0631\u0633\u0627\u0644 \u06af\u0631\u062f\u062f.\r\n\t\t\t<br \/><br \/>\r\n\t\t\t\u0634\u0645\u0627\u0631\u0647 \u062a\u0645\u0627\u0633: 09395106248 \r\n\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\t\r\n<\/table>\r\n<br \/>\r\n\r\n<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; \u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc: Matrix Algebra Useful for Statistics, 2nd Edition (Wiley Series in Probability and Statistics) \u0633\u0627\u0644 \u0627\u0646\u062a\u0634\u0627\u0631: [&hellip;]<\/p>\n","protected":false},"featured_media":64223,"comment_status":"open","ping_status":"closed","template":"","meta":{"pmpro_default_level":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}}},"product_cat":[883,685],"product_tag":[],"class_list":{"0":"post-64221","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-883","7":"product_cat-685","8":"pmpro-has-access","9":"desktop-align-left","10":"tablet-align-left","11":"mobile-align-left","13":"first","14":"instock","15":"shipping-taxable","16":"purchasable","17":"product-type-variable"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u06a9\u062a\u0627\u0628 \u062c\u0628\u0631 \u0645\u0627\u062a\u0631\u06cc\u0633\u06cc \u0645\u0641\u06cc\u062f \u0628\u0631\u0627\u06cc \u0622\u0645\u0627\u0631 - \u0641\u0631\u0648\u0634\u06af\u0627\u0647 \u0627\u06a9\u0633\u067e\u0631\u0633<\/title>\n<meta name=\"robots\" content=\"index, follow, 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