{"id":4728,"date":"2024-09-18T15:52:26","date_gmt":"2024-09-18T18:52:26","guid":{"rendered":"https:\/\/www.ufrgs.br\/ppgeq\/?page_id=4728"},"modified":"2024-09-18T15:57:42","modified_gmt":"2024-09-18T18:57:42","slug":"eqp0010-estimacao-de-parametros","status":"publish","type":"page","link":"https:\/\/www.ufrgs.br\/ppgeq\/eqp0010-estimacao-de-parametros\/","title":{"rendered":"EQP0010 \u2013 ESTIMA\u00c7\u00c3O DE PAR\u00c2METROS"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"4728\" class=\"elementor elementor-4728\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-d12fc6f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d12fc6f\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1e3d62c\" data-id=\"1e3d62c\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-cd3f896 elementor-widget elementor-widget-text-editor\" data-id=\"cd3f896\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><strong>DISCIPLINA<\/strong><\/h2><p>EQP0010 \u2013 ESTIMA\u00c7\u00c3O DE PAR\u00c2METROS<\/p><h2>\u00a0<\/h2><h2><strong>N\u00daMERO DE CR\u00c9DITOS<\/strong><\/h2><p>03<\/p><h2>\u00a0<\/h2><h2><strong>MINISTRANTE<\/strong><\/h2><ul><li><p>Prof. M\u00e1rcio Schwaab<\/p><\/li><\/ul><h2>\u00a0<\/h2><h2><strong>S\u00daMULA<\/strong><\/h2><p>Conceitos fundamentais de estat\u00edstica para estima\u00e7\u00e3o de par\u00e2metros. Fun\u00e7\u00f5es objetivo de m\u00ednimos quadrados e de m\u00e1xima verossimilhan\u00e7a. M\u00e9todos de otimiza\u00e7\u00e3o aplicados na estima\u00e7\u00e3o de par\u00e2metros. An\u00e1lise estat\u00edstica dos resultados da estima\u00e7\u00e3o de par\u00e2metros. Intervalos de confian\u00e7a e regi\u00f5es de confian\u00e7a para modelos lineares e n\u00e3o-lineares. Compara\u00e7\u00e3o da qualidade do ajuste de modelos.<\/p><h2>OBJETIVOS<\/h2><p>Fornecer conhecimentos em t\u00e9cnicas de estima\u00e7\u00e3o de par\u00e2metros de modelos lineares e n\u00e3o lineares e para a interpreta\u00e7\u00e3o dos resultados, constru\u00e7\u00e3o de intervalos e regi\u00f5es de confian\u00e7a, para compara\u00e7\u00e3o de modelos e avalia\u00e7\u00e3o da qualidade das estimativas dos par\u00e2metros.<\/p><h2>\u00a0<\/h2><h2>CONTE\u00daDO PROGRAM\u00c1TICO<\/h2><ol><li>Conceitos b\u00e1sicos de estat\u00edstica para a estima\u00e7\u00e3o de par\u00e2metros.<\/li><li>Fun\u00e7\u00e3o objetivo de m\u00ednimos quadrados e m\u00e1xima verossimilhan\u00e7a: conceitos fundamentais e propriedades estat\u00edsticas.<\/li><li>M\u00e9todos num\u00e9ricos de otimiza\u00e7\u00e3o para a estima\u00e7\u00e3o de par\u00e2metros de modelos n\u00e3o lineares: m\u00e9todos de Newton, m\u00e9todos de busca direta e m\u00e9todos estoc\u00e1sticos.<\/li><li>An\u00e1lise da estima\u00e7\u00e3o de par\u00e2metros em modelos descritos por equa\u00e7\u00f5es diferenciais.<\/li><li>Avalia\u00e7\u00e3o estat\u00edstica dos resultados da estima\u00e7\u00e3o de par\u00e2metros de modelos n\u00e3o lineares. Determina\u00e7\u00e3o da regi\u00e3o de confian\u00e7a el\u00edptica e de verossimilhan\u00e7a. Compara\u00e7\u00e3o da qualidade dos ajustes de modelos.<\/li><\/ol><h2><strong>METODOLOGIA<\/strong><\/h2><p>Aulas te\u00f3ricas e computacionais. Semin\u00e1rios.<\/p><h2>\u00a0<\/h2><h2><strong>SISTEMA DE AVALIA\u00c7\u00c3O<\/strong><\/h2><p>Provas escritas, trabalhos computacionais, e semin\u00e1rios.<\/p><h2><strong>BIBLIOGRAFIA RECOMENDADA<br \/><\/strong><\/h2><ul><li><p>Artigos cient\u00edficos da literatura especializada.<\/p><p>\u00a0<\/p><p>Livros:<\/p><ol start=\"2007\"><li>Schwaab; J. C. Pinto. <em>An\u00e1lise de Dados Experimentais. I: Fundamentos de Estat\u00edstica e Estima\u00e7\u00e3o de Par\u00e2metros<\/em>. Editora e-Papers, Rio de Janeiro, 2007.<\/li><li>M. Himmelblau. <em>Process Analysis by Statistical Methods<\/em>. John Wiley and Sons, New York, 1970.<\/li><li>Bard. <em>Nonlinear Parameter Estimation<\/em>. Academic Pres, New Jersey, 1974.<\/li><li>Englezos; N. Kalogerakis. <em>Applied Parameter Estimation for Chemical Engineers<\/em>. Marcel Dekker, Inc., New York, 2001.<\/li><li>M. Bates; D. G. Watts. <em>Nonlinear Regression Analysis and Its Applications<\/em>. John Wiley and Sons, New York, 2007.<\/li><li>Clerc. <em>Particle Swarm Optimization<\/em>. ISTE Ltd, London, 2006.<\/li><li>V. Price; R. M. Storn; J.A. Lampinen. <em>Differential Evolution. A Practical Approach to Global Optimization.<\/em>Springer, Berlin, 2005.<\/li><li>F. Edgar; D. M. Himmelblau; L.S. Lasdon. <em>Optimization of Chemical Processes<\/em>. 2<sup>a<\/sup>Edi\u00e7\u00e3o. McGraw Hill, New York, 2001.<\/li><\/ol><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"DISCIPLINA EQP0010 \u2013 ESTIMA\u00c7\u00c3O DE PAR\u00c2METROS \u00a0 N\u00daMERO DE CR\u00c9DITOS 03 \u00a0 MINISTRANTE Prof. M\u00e1rcio Schwaab \u00a0 S\u00daMULA Conceitos fundamentais de estat\u00edstica para \n<a class=\"moretag\" href=\"https:\/\/www.ufrgs.br\/ppgeq\/eqp0010-estimacao-de-parametros\/\"> <br \/><\/a>","protected":false},"author":10,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[37],"tags":[],"class_list":["post-4728","page","type-page","status-publish","hentry","category-disciplinas"],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.ufrgs.br\/ppgeq\/wp-json\/wp\/v2\/pages\/4728","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ufrgs.br\/ppgeq\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.ufrgs.br\/ppgeq\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.ufrgs.br\/ppgeq\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ufrgs.br\/ppgeq\/wp-json\/wp\/v2\/comments?post=4728"}],"version-history":[{"count":4,"href":"https:\/\/www.ufrgs.br\/ppgeq\/wp-json\/wp\/v2\/pages\/4728\/revisions"}],"predecessor-version":[{"id":4736,"href":"https:\/\/www.ufrgs.br\/ppgeq\/wp-json\/wp\/v2\/pages\/4728\/revisions\/4736"}],"wp:attachment":[{"href":"https:\/\/www.ufrgs.br\/ppgeq\/wp-json\/wp\/v2\/media?parent=4728"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ufrgs.br\/ppgeq\/wp-json\/wp\/v2\/categories?post=4728"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ufrgs.br\/ppgeq\/wp-json\/wp\/v2\/tags?post=4728"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}