{"id":946,"date":"2015-09-03T12:58:04","date_gmt":"2015-09-03T10:58:04","guid":{"rendered":"https:\/\/cio.umh.es\/?p=946"},"modified":"2015-09-03T12:58:04","modified_gmt":"2015-09-03T10:58:04","slug":"conferencia-del-prof-dr-d-leandro-pardo","status":"publish","type":"post","link":"https:\/\/cio.umh.es\/en\/2015\/09\/03\/conferencia-del-prof-dr-d-leandro-pardo\/","title":{"rendered":"Conferencia del Prof. Dr. D. Leandro Pardo"},"content":{"rendered":"<p><!--:es--><strong>T\u00edtulo:\u00a0<\/strong>Alternativas robustas al estimador de m\u00e1xima verosimilitud y al test del cociente de verosimilitudes: El contraste de igualdad de medias en poblaciones normales<br \/>\n<b>P<\/b><strong>onente:\u00a0<\/strong>Leandro Pardo<br \/>\n<strong>Date:<\/strong>\u00a011\/09\/2015 12:00 h<br \/>\n<strong>Lugar:<\/strong>\u00a0Sala de Seminarios, Edificio Torretamarit<br \/>\n<strong>Resumen:<\/strong><br \/>\nA trav\u00e9s de un ejemplo se pondr\u00e1 de manifiesto los problemas de robustez del estimador de m\u00e1xima verosimilitud (EMV) as\u00ed como del test del cociente de verosimilitudes (TCV). Se introducir\u00e1 una familia de estimadores basados en distancias y que contiene al estimador de m\u00e1xima verosimilitud como caso particular para resolver el problema de estimaci\u00f3n. Para el problema del contraste de hip\u00f3tesis se introducir\u00e1n dos familias de estad\u00edsticos: Una basada en distancias y otra del tipo de los estad\u00edsticos de Wald. Analizadas las caracter\u00edsticas de los estimadores y estad\u00edsticos de contraste, considerados en esta conferencia, se presentar\u00e1 un estudio de simulaci\u00f3n para, de una forma sencilla, analizar su comportamiento frente a los EMV y a los TCV. Se finalizar\u00e1 analizando y comparando los resultados a que dan lugar los procedimientos introducidos en esta conferencia frente a los basados en el EMV y el TCV para el caso cl\u00e1sico del problema de igualdad de medias en poblaciones normales con varianzas iguales (t-tests).<br \/>\n<strong>Breve Bio:<\/strong><br \/>\nLeandro Pardo Llorente es profesor del Departamento de Estad\u00edstica e Investigaci\u00f3n Operativa de la Universidad Complutense de Madrid y Presidente de la Sociedad de Estad\u00edstica e Investigaci\u00f3n Operativa. Ha trabajado a lo largo de su dilatada vida profesional en multitud de proyectos de investigaci\u00f3n en el \u00e1mbito de la metodolog\u00eda estad\u00edstica y ha publicado cientos de art\u00edculos, cap\u00edtulos de libro y libros sobre inferencia estad\u00edstica.<!--:--><!--:en--><strong>Title<\/strong>:\u00a0Robust alternatives to the maximum likelihood estimator and to the likelihood ratio test: The problem of testing the equality of means in normal populations.<br \/>\n<strong>Speaker<\/strong>:\u00a0Leandro Pardo<br \/>\n<strong>Date<\/strong>: 11\/09\/2015 12:00h<br \/>\n<strong>Location<\/strong>: Sala de Seminarios, Edificio Torretamarit<br \/>\n<strong>Abstract<\/strong><br \/>\nAn example will show the robustness problems that maximum likelihood estimator (MLE) and likelihood ratio tests (LRT) have. A family of estimators, based on distances and containing the maximum likelihood estimator as a special case, will be introduced for solving the estimation problem appearing in the example. For testing hypotheses, two families of test statistics are introduced: The first one is based on distances and the second one is a Wald-type statistics. The talk analyzes the characteristics of the estimators and the test statistics. A simulation experiment studies, a simple way, their behaviors and gives comparison with the MLE and the LRT. Finally, the classical problem of testing the equality of means in normal populations with equal variances (t-tests) is used for comparing the new and old considered statistical procedures.<br \/>\n<strong>Brief Bio:<\/strong><br \/>\nLeandro Pardo Llorente is professor at the Department of Statistics and Operations Research of the Complutense University of Madrid and he is President of the Spanish Society of Statistics and Operations Research. He has worked throughout his long career in many research projects in the field of statistical methodology and he has published hundreds of articles, book chapters and books on statistical inference.<!--:--><\/p>","protected":false},"excerpt":{"rendered":"<p>T\u00edtulo:\u00a0Alternativas robustas al estimador de m\u00e1xima verosimilitud y al test del cociente de verosimilitudes: El contraste de igualdad de medias en poblaciones normales<br \/>\nPonente:\u00a0Leandro Pardo<br \/>\nFecha:\u00a011\/09\/2015 12:00 h<br \/>\nLugar:\u00a0Sala de Seminarios, Edificio Torretamarit<br \/>\nResumen:<br \/>\nA trav\u00e9s de un ejemplo se pondr\u00e1 de manifiesto los problemas de robustez del estimador de m\u00e1xima verosimilitud (EMV) as\u00ed como del test del cociente de [&#8230;]<\/p>","protected":false},"author":3477,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_links_to":"","_links_to_target":""},"categories":[4,873],"tags":[],"_links":{"self":[{"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/posts\/946"}],"collection":[{"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/users\/3477"}],"replies":[{"embeddable":true,"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/comments?post=946"}],"version-history":[{"count":0,"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/posts\/946\/revisions"}],"wp:attachment":[{"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/media?parent=946"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/categories?post=946"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/tags?post=946"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}