
{"id":64074,"date":"2025-04-23T17:03:30","date_gmt":"2025-04-23T17:03:30","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d9%be%db%8c%d8%b4-%d8%a8%db%8c%d9%86%db%8c-%d8%a8%d8%a7-%d8%b1%d9%88%d8%b4-%d8%aa%d8%aa%d8%a7%d8%9b-%d8%aa%d8%a6%d9%88%d8%b1%db%8c-%d9%88-%da%a9%d8%a7%d8%b1%d8%a8%d8%b1%d8%af\/"},"modified":"2025-04-23T13:34:26","modified_gmt":"2025-04-23T13:34:26","slug":"%da%a9%d8%aa%d8%a7%d8%a8-%d9%be%db%8c%d8%b4-%d8%a8%db%8c%d9%86%db%8c-%d8%a8%d8%a7-%d8%b1%d9%88%d8%b4-%d8%aa%d8%aa%d8%a7%d8%9b-%d8%aa%d8%a6%d9%88%d8%b1%db%8c-%d9%88-%da%a9%d8%a7%d8%b1%d8%a8%d8%b1%d8%af","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d9%be%db%8c%d8%b4-%d8%a8%db%8c%d9%86%db%8c-%d8%a8%d8%a7-%d8%b1%d9%88%d8%b4-%d8%aa%d8%aa%d8%a7%d8%9b-%d8%aa%d8%a6%d9%88%d8%b1%db%8c-%d9%88-%da%a9%d8%a7%d8%b1%d8%a8%d8%b1%d8%af\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0628\u0627 \u0631\u0648\u0634 \u062a\u062a\u0627\u061b \u062a\u0626\u0648\u0631\u06cc \u0648 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627"},"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 Forecasting With The Theta Method: Theory and Applications\" src=\"https:\/\/express24.ir\/d\/wp-content\/uploads\/2025\/04\/9781119320760.jpg\" alt=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Forecasting With The Theta Method: Theory and Applications\" \/><\/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>Forecasting With The Theta Method: Theory and Applications<\/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: 2019\u00a0\u00a0|\u00a0\u00a0185 \u0635\u0641\u062d\u0647\u00a0\u00a0|\u00a0\u00a0\u062d\u062c\u0645 \u0641\u0627\u06cc\u0644: 2 \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>Kostas I. Nikolopoulos, Dimitrios D. Thomakos<\/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>1119320763<\/td>\n<\/tr>\n<tr>\n<td>ISBN13:<\/td>\n<td>9781119320760<\/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>The first book to be published on the Theta method, outlining under what conditions the method outperforms other forecasting methods<\/p>\n<p>This book is the first to detail the Theta method of forecasting \u2013 one of the most difficult-to-beat forecasting benchmarks, which topped the biggest forecasting competition in the world in 2000: the M3 competition. Written by two of the leading experts in the forecasting field, it illuminates the exact replication of the method and under what conditions the method outperforms other forecasting methods. Recent developments such as multivariate models are also included, as are a series of practical applications in finance, economics, and healthcare. The book also offers practical tools in MS Excel and guidance, as well as provisional access, for the use of R source code and respective packages.<\/p>\n<p>Forecasting with the Theta Method: Theory and Applications includes three main parts. The first part, titled Theory, Methods, Models &amp; Applications details the new theory about the method. The second part, Applications &amp; Performance in Forecasting Competitions, describes empirical results and simulations on the method. The last part roadmaps future research and also include contributions from another leading scholar of the method \u2013 Dr. Fotios Petropoulos.<\/p>\n<p>First ever book to be published on the Theta Method<br \/>\nExplores new theory and exact conditions under which methods would outperform most forecasting benchmarks<br \/>\nClearly written with practical applications<br \/>\nEmploys R \u2013 open source code with all included implementations<\/p>\n<p>Forecasting with the Theta Method: Theory and Applications is a valuable tool for both academics and practitioners involved in forecasting and respective software development.<\/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>\u0627\u0648\u0644\u06cc\u0646 \u06a9\u062a\u0627\u0628\u06cc \u06a9\u0647 \u062f\u0631 \u0631\u0648\u0634 \u062a\u062a\u0627 \u0645\u0646\u062a\u0634\u0631 \u0645\u06cc \u0634\u0648\u062f \u060c \u0628\u0627 \u0628\u06cc\u0627\u0646 \u0627\u06cc\u0646\u06a9\u0647 \u062f\u0631 \u0686\u0647 \u0634\u0631\u0627\u06cc\u0637\u06cc \u0627\u06cc\u0646 \u0631\u0648\u0634 \u0627\u0632 \u0633\u0627\u06cc\u0631 \u0631\u0648\u0634\u0647\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0628\u0647\u062a\u0631 \u0627\u0633\u062a<\/p>\n<p>\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0627\u0648\u0644\u06cc\u0646 \u06a9\u0633\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u062a\u0641\u0635\u06cc\u0644 \u0631\u0648\u0634 \u062a\u062a\u0627 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc-\u06cc\u06a9\u06cc \u0627\u0632 \u062f\u0634\u0648\u0627\u0631\u062a\u0631\u06cc\u0646 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u06a9\u0646\u0646\u062f\u0647 \u0628\u0631\u0627\u06cc \u0636\u0631\u0628 \u0648 \u0634\u062a\u0645 \u060c \u06a9\u0647 \u062f\u0631 \u0635\u062f\u0631 \u0628\u0632\u0631\u06af\u062a\u0631\u06cc\u0646 \u0631\u0642\u0627\u0628\u062a \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u062f\u0631 \u062c\u0647\u0627\u0646 \u062f\u0631 \u0633\u0627\u0644 2000 \u0627\u0633\u062a: \u0645\u0633\u0627\u0628\u0642\u0647 M3.\u0646\u0648\u0634\u062a\u0647 \u0634\u062f\u0647 \u062a\u0648\u0633\u0637 \u062f\u0648 \u0646\u0641\u0631 \u0627\u0632 \u0645\u062a\u062e\u0635\u0635\u0627\u0646 \u067e\u06cc\u0634\u0631\u0648 \u062f\u0631 \u0632\u0645\u06cc\u0646\u0647 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u060c \u062a\u06a9\u0631\u0627\u0631 \u062f\u0642\u06cc\u0642 \u0631\u0648\u0634 \u0631\u0627 \u0631\u0648\u0634\u0646 \u0645\u06cc \u06a9\u0646\u062f \u0648 \u062a\u062d\u062a \u0686\u0647 \u0634\u0631\u0627\u06cc\u0637\u06cc \u0627\u06cc\u0646 \u0631\u0648\u0634 \u0627\u0632 \u0633\u0627\u06cc\u0631 \u0631\u0648\u0634\u0647\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0628\u0647\u062a\u0631 \u0639\u0645\u0644 \u0645\u06cc \u06a9\u0646\u062f.\u062a\u062d\u0648\u0644\u0627\u062a \u0627\u062e\u06cc\u0631 \u0645\u0627\u0646\u0646\u062f \u0645\u062f\u0644 \u0647\u0627\u06cc \u0686\u0646\u062f \u0645\u062a\u063a\u06cc\u0631\u0647 \u0646\u06cc\u0632 \u0634\u0627\u0645\u0644 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u06cc \u0627\u0632 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u062f\u0631 \u0627\u0645\u0648\u0631 \u0645\u0627\u0644\u06cc \u060c \u0627\u0642\u062a\u0635\u0627\u062f \u0648 \u0645\u0631\u0627\u0642\u0628\u062a \u0647\u0627\u06cc \u0628\u0647\u062f\u0627\u0634\u062a\u06cc \u0627\u0633\u062a.\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06a9\u062f \u0645\u0646\u0628\u0639 R \u0648 \u0628\u0633\u062a\u0647 \u0647\u0627\u06cc \u0645\u0631\u0628\u0648\u0637\u0647 \u060c \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u0631\u0627 \u062f\u0631 MS Excel \u0648 \u0631\u0627\u0647\u0646\u0645\u0627\u06cc\u06cc \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u062f\u0633\u062a\u0631\u0633\u06cc \u0645\u0648\u0642\u062a \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f.<\/p>\n<p>\u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0628\u0627 \u0631\u0648\u0634 \u062a\u062a\u0627: \u062a\u0626\u0648\u0631\u06cc \u0648 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627 \u0634\u0627\u0645\u0644 \u0633\u0647 \u0628\u062e\u0634 \u0627\u0635\u0644\u06cc \u0627\u0633\u062a.\u0628\u062e\u0634 \u0627\u0648\u0644 \u060c \u0628\u0627 \u0639\u0646\u0648\u0627\u0646 \u062a\u0626\u0648\u0631\u06cc \u060c \u0631\u0648\u0634\u0647\u0627 \u060c \u0645\u062f\u0644 \u0647\u0627 \u0648 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627 \u0646\u0638\u0631\u06cc\u0647 \u062c\u062f\u06cc\u062f \u0631\u0627 \u062f\u0631 \u0645\u0648\u0631\u062f \u0627\u06cc\u0646 \u0631\u0648\u0634 \u0634\u0631\u062d \u0645\u06cc 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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: Forecasting With The Theta Method: Theory and Applications \u0633\u0627\u0644 \u0627\u0646\u062a\u0634\u0627\u0631: 2019\u00a0\u00a0|\u00a0\u00a0185 \u0635\u0641\u062d\u0647\u00a0\u00a0|\u00a0\u00a0\u062d\u062c\u0645 \u0641\u0627\u06cc\u0644: 2 \u0645\u06af\u0627\u0628\u0627\u06cc\u062a\u00a0\u00a0|\u00a0\u00a0\u0632\u0628\u0627\u0646: [&hellip;]<\/p>\n","protected":false},"featured_media":64075,"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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