{"id":5799,"date":"2023-10-18T10:42:49","date_gmt":"2023-10-18T08:42:49","guid":{"rendered":"https:\/\/dpc-software.de\/neu-maximum-likelihood-estimation-with-stata-fifth-edition\/"},"modified":"2023-10-18T10:42:49","modified_gmt":"2023-10-18T08:42:49","slug":"neu-maximum-likelihood-estimation-with-stata-fifth-edition","status":"publish","type":"post","link":"https:\/\/dpc-software.de\/nl\/neu-maximum-likelihood-estimation-with-stata-fifth-edition\/","title":{"rendered":"Maximum Likelihood Estimation with Stata, Fifth Edition"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;section&#8221; _builder_version=&#8221;3.22&#8243;][et_pb_row column_structure=&#8221;2_5,3_5&#8243; admin_label=&#8221;row&#8221; _builder_version=&#8221;3.25&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221;][et_pb_column type=&#8221;2_5&#8243; _builder_version=&#8221;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_image src=&#8221;https:\/\/dpc-software.de\/wp-content\/uploads\/2023\/10\/ml5-front.png&#8221; title_text=&#8221;ml5-front&#8221; _builder_version=&#8221;4.6.0&#8243; _module_preset=&#8221;default&#8221;][\/et_pb_image][et_pb_button button_url=&#8221;https:\/\/dpc-onlineshop.de\/p\/maximum-likelihood-estimation-with-stata-fifth-edition&#8221; url_new_window=&#8221;on&#8221; button_text=&#8221;Onlineshop&#8221; button_alignment=&#8221;center&#8221; _builder_version=&#8221;4.6.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;60px||||false|false&#8221; custom_padding=&#8221;||||false|false&#8221; hover_enabled=&#8221;0&#8243; sticky_enabled=&#8221;0&#8243;][\/et_pb_button][\/et_pb_column][et_pb_column type=&#8221;3_5&#8243; _builder_version=&#8221;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.6.0&#8243; _module_preset=&#8221;default&#8221;]<\/p>\n<p><strong>Book Highlights<\/strong><\/p>\n<ul>\n<li>Learn about maximum likelihood estimation and how to write your own maximum likelihood estimator in Stata using the <strong>ml <\/strong>command.<\/li>\n<\/ul>\n<ul>\n<li>See how to easily incorporate robust and cluster\u2013robust standard errors, constraints, support for survey data, and other features that are common to many official Stata commands.<\/li>\n<\/ul>\n<ul>\n<li>Learn how to write a complete estimation command.<\/li>\n<\/ul>\n<ul>\n<li>Find out how to take advantage of Mata, Stata&#8217;s matrix programming language, either to write your own likelihood evaluator that is used with the <strong>ml<\/strong> command or to implement a maximum likelihood estimator fully within Mata with the <strong>moptimize()<\/strong> suite of functions.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><strong>New in the fifth edition<\/strong><\/p>\n<ul>\n<li>Updates for modern syntax and features<\/li>\n<\/ul>\n<ul>\n<li>A new chapter on the <strong>mlexp<\/strong> command, which allows you to specify a likelihood and perform estimation without any programming<\/li>\n<\/ul>\n<ul>\n<li>A new chapter on Mata&#8217;s <strong>moptimize()<\/strong> suite of functions, which allows you to implement maximum likelihood estimators entirely within Mata<\/li>\n<\/ul>\n<ul>\n<li>Updated examples, including a new example of implementing a bivariate Poisson model that takes the researcher through the entire process of deriving a likelihood through writing a full-fledged estimation command<\/li>\n<\/ul>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Book Highlights Learn about maximum likelihood estimation and how to write your own maximum likelihood estimator in Stata using the ml command. See how to easily incorporate robust and cluster\u2013robust standard errors, constraints, support for survey data, and other features that are common to many official Stata commands. Learn how to write a complete estimation command. Find out how to take advantage of Mata, Stata&#8217;s matrix programming language, either to write your own likelihood evaluator that is used with the ml command or to implement a maximum likelihood estimator fully within Mata with the moptimize() suite of functions. &nbsp; New in the fifth edition Updates for modern syntax and features A new chapter on the mlexp command, which allows you to specify a likelihood and perform estimation without any programming A new chapter on Mata&#8217;s moptimize() suite of functions, which allows you to implement maximum likelihood estimators entirely within Mata Updated examples, including a new example of implementing a bivariate Poisson model that takes the researcher through the entire process of deriving a likelihood through writing a full-fledged estimation command<\/p>\n","protected":false},"author":2,"featured_media":5786,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"categories":[16],"tags":[],"class_list":["post-5799","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-geen-onderdeel-van-een-categorie"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Maximum Likelihood Estimation with Stata, Fifth Edition - DPC Software GmbH<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dpc-software.de\/nl\/neu-maximum-likelihood-estimation-with-stata-fifth-edition\/\" \/>\n<meta property=\"og:locale\" content=\"nl_NL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Maximum Likelihood Estimation with Stata, Fifth Edition - DPC Software GmbH\" \/>\n<meta property=\"og:description\" content=\"Book Highlights Learn about maximum likelihood estimation and how to write your own maximum likelihood estimator in Stata using the ml command. See how to easily incorporate robust and cluster\u2013robust standard errors, constraints, support for survey data, and other features that are common to many official Stata commands. Learn how to write a complete estimation command. 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