{"id":9088,"date":"2023-04-21T15:01:31","date_gmt":"2023-04-21T18:01:31","guid":{"rendered":"https:\/\/www.est.ufmg.br\/portal\/?page_id=9088"},"modified":"2024-12-19T08:35:45","modified_gmt":"2024-12-19T11:35:45","slug":"especializacao-ementas","status":"publish","type":"page","link":"https:\/\/www.est.ufmg.br\/portal\/especializacao-ementas\/","title":{"rendered":"Especializa\u00e7\u00e3o &#8211; Ementas"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"9088\" class=\"elementor elementor-9088\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-afbc720 elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"afbc720\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f5a13aa\" data-id=\"f5a13aa\" 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-5560001 elementor-widget elementor-widget-shortcode\" data-id=\"5560001\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\">\t\t<div data-elementor-type=\"section\" data-elementor-id=\"8905\" class=\"elementor elementor-8905\" data-elementor-post-type=\"elementor_library\">\n\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5ab4205 elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"5ab4205\" data-element_type=\"section\" data-e-type=\"section\" id=\"menu-atuariais\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\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-76935d4f\" data-id=\"76935d4f\" 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-52f9e110 elementor-widget elementor-widget-heading\" data-id=\"52f9e110\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Especializa\u00e7\u00e3o - Estat\u00edstica<\/h2>\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<section class=\"elementor-section elementor-top-section elementor-element elementor-element-f39a027 elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"f39a027\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;sticky&quot;:&quot;top&quot;,&quot;sticky_on&quot;:[&quot;desktop&quot;,&quot;tablet&quot;,&quot;mobile&quot;],&quot;sticky_offset&quot;:0,&quot;sticky_effects_offset&quot;:0,&quot;sticky_anchor_link_offset&quot;:0}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1db3ec8\" data-id=\"1db3ec8\" 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-f1e33ba elementor-icon-list--layout-inline elementor-align-center menu-esp-estatistica elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"f1e33ba\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul class=\"elementor-icon-list-items elementor-inline-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.est.ufmg.br\/portal\/\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-home\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Home DEST <\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.est.ufmg.br\/portal\/pos-graduacao\/\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-home\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Home P\u00f3s-gradua\u00e7\u00e3o<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.est.ufmg.br\/portal\/especializacao-corpo-docente\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-users\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Corpo Docente<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.est.ufmg.br\/portal\/especializacao-estrutura-curricular\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-chart-area\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Estrutura Curricular<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.est.ufmg.br\/portal\/especializacao-ementas\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-copy\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Ementas<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.est.ufmg.br\/portal\/especializacao-formularios\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"far fa-file-word\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Formul\u00e1rios<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.est.ufmg.br\/portal\/especializacao-monografias\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-book\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Monografias<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.est.ufmg.br\/portal\/especializacao-selecao\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"far fa-id-badge\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Sele\u00e7\u00e3o<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.est.ufmg.br\/portal\/especializacao-contato\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"far fa-envelope\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Contato <\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\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<\/div>\n\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<section class=\"elementor-section elementor-top-section elementor-element elementor-element-a7d3ec3 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a7d3ec3\" data-element_type=\"section\" data-e-type=\"section\" id=\"atuario\">\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-8c990d5\" data-id=\"8c990d5\" 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-39c6750 elementor-widget elementor-widget-heading\" data-id=\"39c6750\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Ementas<\/h2>\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<section class=\"elementor-section elementor-top-section elementor-element elementor-element-54a52f6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"54a52f6\" 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-bc0edb7\" data-id=\"bc0edb7\" 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-8e0631f elementor-widget elementor-widget-text-editor\" data-id=\"8e0631f\" 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<h4><strong>EMENTAS 2023\/2024<\/strong><\/h4><p><strong style=\"font-style: inherit;\">OBRIGAT\u00d3RIAS<\/strong><\/p><p><strong style=\"font-style: inherit;\">1) An\u00e1lise Explorat\u00f3ria de Dados com uso dos softwares R e Excel<\/strong><\/p><p>Sintetizando e comunicando n\u00fameros. Coleta de dados e dados secund\u00e1rios. Representa\u00e7\u00e3o gr\u00e1fica: Histograma, Box-Plot, Ramos e Folhas, Diagrama de Dispers\u00e3o. A Estat\u00edstica e o trabalho cient\u00edfico. Medidas de tend\u00eancia central e variabilidade.An\u00e1lise Bidimensional. Transforma\u00e7\u00e3o de vari\u00e1veis. Uso do software R e Excel. No\u00e7\u00f5es de Simula\u00e7\u00e3o de Monte Carlo, Bootstrap e programa\u00e7\u00e3o no R.<\/p><p><strong>2)\u00a0 M\u00e9todos Probabil\u00edsticos: Solu\u00e7\u00e3o Anal\u00edtica e por Monte Carlo<\/strong><\/p><p>Introdu\u00e7\u00e3o: Probabilidade. Simula\u00e7\u00e3o de Monte Carlo. Probabilidade condicional, independ\u00eancia de eventos como exemplos no software R. Vari\u00e1veis aleat\u00f3rias. Vari\u00e1veis aleat\u00f3rias discretas e continuas. Momentos via solu\u00e7\u00e3o anal\u00edtica e por simula\u00e7\u00e3o de Monte Carlo. Transforma\u00e7\u00e3o de vari\u00e1veis aleat\u00f3rias. Aplica\u00e7\u00e3o dos modelos probabil\u00edsticos nas \u00e1reas industrial, de servi\u00e7os e biol\u00f3gicas. Juntando probabilidade e estat\u00edstica.<\/p><p><strong><span style=\"font-style: inherit;\">3)\u00a0<\/span><\/strong><strong style=\"font-style: inherit;\">Infer\u00eancia Estat\u00edstica Computacional<\/strong><\/p><p>Introdu\u00e7\u00e3o \u00e0 infer\u00eancia estat\u00edstica computacional. Grau e certeza sobre o que est\u00e1 acontecendo: Estimativas e Intervalos. Interpretando o intervalo de confian\u00e7a com uso da Simula\u00e7\u00e3o de Monte Carlo. Estima\u00e7\u00e3o Pontual. Otimizando a fun\u00e7\u00e3o de verossimilhan\u00e7a: uso do R. Testes de Hip\u00f3teses para uma Popula\u00e7\u00e3o. Testes de Hip\u00f3teses para duas Popula\u00e7\u00f5es. An\u00e1lise de Vari\u00e2ncia. Alguns testes usuais param\u00e9tricos e n\u00e3o param\u00e9tricos. Aplica\u00e7\u00e3o dos procedimentos de infer\u00eancia nas \u00e1reas industrial, de servi\u00e7os e biol\u00f3gicas. Uso do Bootstrap param\u00e9trico e n\u00e3o param\u00e9trico.<\/p><p><strong style=\"font-style: inherit;\">4) Modelagem de Rela\u00e7\u00f5es usando Regress\u00e3o Linear<\/strong><\/p><p>Usando o diagrama e dispers\u00e3o. M\u00e9todo dos m\u00ednimos quadrados: otimiza\u00e7\u00e3o usando o R. Igualdade entre os estimadores de m\u00e1xima verossimilhan\u00e7a e m\u00e9todo dos m\u00ednimos quadrados. Necessidade de hip\u00f3teses para a componente erro do modelo. An\u00e1lise de Res\u00edduos. Identifica\u00e7\u00e3o de valores influentes. Transforma\u00e7\u00e3o de vari\u00e1veis. Sele\u00e7\u00e3o do melhor modelo de regress\u00e3o. Aplica\u00e7\u00e3o dos procedimentos de regress\u00e3o Linear nas \u00e1reas industrial, de servi\u00e7os e biol\u00f3gicas. Uso do Bootstrap param\u00e9trico e n\u00e3o param\u00e9trico para realiza\u00e7\u00e3o de intervalos e confian\u00e7a e teste de hip\u00f3teses.<\/p><p><strong>5)\u00a0 Estat\u00edstica Multivariada Computacional<\/strong><\/p><p>T\u00e9cnicas de sintetiza\u00e7\u00e3o de dados multivariados com o R: an\u00e1lise de componentes principais via otimiza\u00e7\u00e3o, an\u00e1lise fatorial, an\u00e1lise de agrupamento via programa\u00e7\u00e3o matem\u00e1tica, an\u00e1lise discriminante. An\u00e1lise de vari\u00e2ncia multivariada. Aplica\u00e7\u00e3o dos procedimentos Multivariados nas \u00e1reas industrial, de servi\u00e7os e biol\u00f3gicas: estudo de casos.<\/p><p><strong>6) M\u00e9todos de Pesquisa em Estat\u00edstica Aplicada<\/strong><\/p><p>M\u00e9todos Cient\u00edficos. As Etapas da Pesquisa em estat\u00edstica. Defini\u00e7\u00e3o e elabora\u00e7\u00e3o da monografia. Exemplos de problemas aptos a constitu\u00edrem uma monografia em Estat\u00edstica.<\/p><p><strong>OPTATIVAS<\/strong><\/p><p><strong style=\"font-style: inherit;\">1) An\u00e1lise de S\u00e9ries Temporais<\/strong><\/p><p>An\u00e1lise explorat\u00f3ria de s\u00e9ries temporais. Regress\u00e3o em s\u00e9ries temporais. M\u00e9todos de decomposi\u00e7\u00e3o de s\u00e9ries temporais. Regress\u00e3o Din\u00e2mica. M\u00e9todos de m\u00e9dias m\u00f3veis. Ajustamento sazonal, m\u00e9todos X-11. Modelos AR. Aplica\u00e7\u00e3o dos procedimentos de S\u00e9ries Temporais nas \u00e1reas industrial, de servi\u00e7os e biol\u00f3gicas: estudo de casos.<\/p><p><strong>2) Estat\u00edstica Computacional e Otimiza\u00e7\u00e3o<\/strong><\/p><p>Computa\u00e7\u00e3o estat\u00edstica: organiza\u00e7\u00e3o, armazenamento, manipula\u00e7\u00e3o de dados e arquivos; Gera\u00e7\u00e3o de n\u00fameros aleat\u00f3rios; Simula\u00e7\u00e3o; escrevendo fun\u00e7\u00f5es no R. Programa\u00e7\u00e3o Linear e n\u00e3o linear com uso do R e Solver\/Excel. Previs\u00e3o de Demanda e pol\u00edticas de estoque. Aplica\u00e7\u00f5es no setor da ind\u00fastria e mercado. Uso do Bootstrap param\u00e9trico e n\u00e3o param\u00e9trico.<\/p><p><strong>3) Regress\u00e3o n\u00e3o Linear<\/strong><\/p><p>Modelos Lineares Generalizados: Fam\u00edlia exponencial. Ajuste pelo m\u00e9todo de Newton Raphson. Infer\u00eancia. Sele\u00e7\u00e3o de Vari\u00e1veis e An\u00e1lise de res\u00edduos. Regress\u00e3o Log\u00edstica, an\u00e1lise de sensibilidade e especificidade, curva ROC. Regress\u00e3o de Poisson, modelos com OFFSET, an\u00e1lise de dados demogr\u00e1ficos. Regress\u00e3o Gama. Introdu\u00e7\u00e3o aos modelos n\u00e3o-lineares: Algoritmos de estima\u00e7\u00e3o. Splines (Regress\u00e3o Polinomial Parcial), GAM (Modelos Aditivo Generalizados), CART (\u00c1rvores de Regress\u00e3o e Classifica\u00e7\u00e3o). Uso do Bootstrap param\u00e9trico e n\u00e3o param\u00e9trico.<\/p><p><strong>4) Amostragem<\/strong><\/p><p>Amostragem aleat\u00f3ria simples. Amostra aleat\u00f3ria estratificada. Amostragem sistem\u00e1tica. Amostragem aleat\u00f3ria de conglomerados. C\u00e1lculo do tamanho da amostra. Estudos de casos em amostragem. Uso do Bootstrap param\u00e9trico e n\u00e3o param\u00e9trico.<\/p><p><strong>5) Controle Estat\u00edstico da Qualidade<\/strong><\/p><p>Evolu\u00e7\u00e3o hist\u00f3rica do conceito de qualidade e controle de processos. Ferramentas b\u00e1sicas da qualidade. Defini\u00e7\u00e3o do conceito de processo estar e permanecer sob controle sob a \u00f3tica da Estat\u00edstica &#8211; causas aleat\u00f3rias e especiais. Gr\u00e1ficos univariados para controle de vari\u00e1veis e atributos. Planejamento de gr\u00e1ficos de controle. \u00cdndices de capacidade de processos. An\u00e1lise do sistema de medi\u00e7\u00e3o. Planos de inspe\u00e7\u00e3o por amostragem. Uso do Bootstrap param\u00e9trico e n\u00e3o param\u00e9trico.<\/p><p><strong>6) Planejamento de Experimentos e Confiabilidade<\/strong><\/p><p>Conceitos Fundamentais: aleatoriza\u00e7\u00e3o e confundimento. Experimentos com um fator (efeitos fixos e aleat\u00f3rios). Experimentos fatoriais com dois ou mais fatores (modelos com efeitos fixos, aleat\u00f3rios e mistos). Planejamentos fracion\u00e1rios. Experimentos com restri\u00e7\u00e3o na aleatoriza\u00e7\u00e3o (blocos completos e incompletos, quadrado latino, split \u2013plot, grego latino ) . Conceitos b\u00e1sicos em confiabilidade. Estudo da adequa\u00e7\u00e3o dos modelos. Distribui\u00e7\u00f5es importantes na \u00e1rea de Confiabilidade. Identifica\u00e7\u00e3o da distribui\u00e7\u00e3o: uso do papel de probabilidade, uso do computador. Planejamento de testes. Modelo de degrada\u00e7\u00e3o. Estudo de casos.<\/p>\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":"<p>Ementas EMENTAS 2023\/2024 OBRIGAT\u00d3RIAS 1) An\u00e1lise Explorat\u00f3ria de Dados com uso dos softwares R e Excel Sintetizando e comunicando n\u00fameros. Coleta de dados e dados secund\u00e1rios. Representa\u00e7\u00e3o gr\u00e1fica: Histograma, Box-Plot, Ramos e Folhas, Diagrama de Dispers\u00e3o. A Estat\u00edstica e o trabalho cient\u00edfico. Medidas de tend\u00eancia central e variabilidade.An\u00e1lise Bidimensional. Transforma\u00e7\u00e3o de vari\u00e1veis. Uso do software [&hellip;]<\/p>\n","protected":false},"author":35,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","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":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","ast-disable-related-posts":"","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":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-9088","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.est.ufmg.br\/portal\/wp-json\/wp\/v2\/pages\/9088","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.est.ufmg.br\/portal\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.est.ufmg.br\/portal\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.est.ufmg.br\/portal\/wp-json\/wp\/v2\/users\/35"}],"replies":[{"embeddable":true,"href":"https:\/\/www.est.ufmg.br\/portal\/wp-json\/wp\/v2\/comments?post=9088"}],"version-history":[{"count":52,"href":"https:\/\/www.est.ufmg.br\/portal\/wp-json\/wp\/v2\/pages\/9088\/revisions"}],"predecessor-version":[{"id":16889,"href":"https:\/\/www.est.ufmg.br\/portal\/wp-json\/wp\/v2\/pages\/9088\/revisions\/16889"}],"wp:attachment":[{"href":"https:\/\/www.est.ufmg.br\/portal\/wp-json\/wp\/v2\/media?parent=9088"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}