{"id":64831,"date":"2025-05-01T14:09:21","date_gmt":"2025-05-01T14:09:21","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%d8%b3%d8%b1%db%8c-%d8%b2%d9%85%d8%a7%d9%86%db%8c%d8%9b-%d9%be%db%8c%d8%b4-%d8%a8%db%8c%d9%86%db%8c-%d9%88-%da%a9%d9%86%d8%aa%d8%b1%d9%84\/"},"modified":"2025-05-01T10:40:10","modified_gmt":"2025-05-01T10:40:10","slug":"%da%a9%d8%aa%d8%a7%d8%a8-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%d8%b3%d8%b1%db%8c-%d8%b2%d9%85%d8%a7%d9%86%db%8c%d8%9b-%d9%be%db%8c%d8%b4-%d8%a8%db%8c%d9%86%db%8c-%d9%88-%da%a9%d9%86%d8%aa%d8%b1%d9%84","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%d8%b3%d8%b1%db%8c-%d8%b2%d9%85%d8%a7%d9%86%db%8c%d8%9b-%d9%be%db%8c%d8%b4-%d8%a8%db%8c%d9%86%db%8c-%d9%88-%da%a9%d9%86%d8%aa%d8%b1%d9%84\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u062a\u062d\u0644\u06cc\u0644 \u0633\u0631\u06cc \u0632\u0645\u0627\u0646\u06cc\u061b \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0648 \u06a9\u0646\u062a\u0631\u0644"},"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 Time Series Analysis: Forecasting and Control, 5th Edition (Wiley Series in Probability and Statistics)\" src=\"https:\/\/express24.ir\/d\/wp-content\/uploads\/2025\/05\/9781118675021.jpg\" alt=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Time Series Analysis: Forecasting and Control, 5th 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>Time Series Analysis: Forecasting and Control, 5th 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: 2015\u00a0\u00a0|\u00a0\u00a0709 \u0635\u0641\u062d\u0647\u00a0\u00a0|\u00a0\u00a0\u062d\u062c\u0645 \u0641\u0627\u06cc\u0644: 14 \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>George E. P. Box, Gwilym M. Jenkins, Gregory C. Reinsel, Greta M. Ljung<\/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>1118675029<\/td>\n<\/tr>\n<tr>\n<td>ISBN13:<\/td>\n<td>9781118675021<\/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;\">Praise for the Fourth Edition<br \/>\n\u201cThe book follows faithfully the style of the original edition. The approach is heavily motivated by real-world time series, and by developing a complete approach to model building, estimation, forecasting and control.&#8221;<br \/>\n&#8211;\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Mathematical Reviews<br \/>\nBridging classical models and modern topics, the Fifth Edition of Time Series Analysis: Forecasting and Control maintains a balanced presentation of the tools for modeling and analyzing time series. Also describing \u00a0the latest developments that have occurred in the field over the past decade through applications from areas such as business, finance, and engineering, the Fifth Edition continues to serve as one of the most influential and prominent works on the subject.<br \/>\nTime Series Analysis: Forecasting and Control, Fifth Edition provides a clearly written exploration of the key methods for building, classifying, testing, and analyzing stochastic models for time series and describes their use in five important areas of application: forecasting; determining the transfer function of a system; modeling the effects of intervention events; developing multivariate dynamic models; and designing simple control schemes.\u00a0 Along with these classical uses, the new edition covers modern topics with new features that include:<br \/>\nA redesigned chapter on multivariate time series analysis with an expanded treatment of Vector Autoregressive, or VAR models, along with a discussion of the analytical tools needed for modeling vector time series<br \/>\nAn expanded chapter on special topics covering\u00a0 unit root testing,\u00a0 time-varying volatility\u00a0 models such as ARCH and GARCH, nonlinear time series models, and long memory models<br \/>\nNumerous examples drawn from finance, economics, engineering, and other related fields<br \/>\nThe use of the publicly available R software for graphical illustrations and numerical calculations along with scripts that demonstrate the use of R for model building and forecasting<br \/>\nUpdates to literature references throughout and new end-of-chapter exercises<br \/>\nStreamlined chapter introductions and revisions that update and enhance the exposition Time Series Analysis: Forecasting and Control, Fifth Edition is a valuable real-world reference for researchers and practitioners in time series analysis, econometrics, finance, and related fields. The book is also an excellent textbook for beginning graduate-level courses in advanced statistics, mathematics, economics, finance, engineering, and physics.<\/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>\u0633\u062a\u0627\u06cc\u0634 \u0628\u0631\u0627\u06cc \u0686\u0627\u067e \u0686\u0647\u0627\u0631\u0645 \u00ab\u06a9\u062a\u0627\u0628 \u0628\u0627 \u0648\u0641\u0627\u062f\u0627\u0631\u06cc \u0627\u0632 \u0633\u0628\u06a9 \u0646\u0633\u062e\u0647 \u0627\u0635\u0644\u06cc \u067e\u06cc\u0631\u0648\u06cc \u0645\u06cc \u06a9\u0646\u062f. \u0627\u06cc\u0646 \u0631\u0648\u06cc\u06a9\u0631\u062f \u0628\u0647 \u0634\u062f\u062a \u062a\u0648\u0633\u0637 \u0633\u0631\u06cc\u200c\u0647\u0627\u06cc \u0632\u0645\u0627\u0646\u06cc \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0648 \u0628\u0627 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\u0647\u0627\u06cc \u062a\u062d\u0635\u06cc\u0644\u0627\u062a \u062a\u06a9\u0645\u06cc\u0644\u06cc \u062f\u0631 \u0622\u0645\u0627\u0631 \u067e\u06cc\u0634\u0631\u0641\u062a\u0647\u060c \u0631\u06cc\u0627\u0636\u06cc\u0627\u062a\u060c \u0627\u0642\u062a\u0635\u0627\u062f\u060c \u0645\u0627\u0644\u06cc\u060c \u0645\u0647\u0646\u062f\u0633\u06cc \u0648 \u0641\u06cc\u0632\u06cc\u06a9 \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: Time Series Analysis: Forecasting and Control, 5th Edition (Wiley Series in Probability and Statistics) \u0633\u0627\u0644 [&hellip;]<\/p>\n","protected":false},"featured_media":64832,"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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