<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0120-1751</journal-id>
<journal-title><![CDATA[Revista Colombiana de Estadística]]></journal-title>
<abbrev-journal-title><![CDATA[Rev.Colomb.Estad.]]></abbrev-journal-title>
<issn>0120-1751</issn>
<publisher>
<publisher-name><![CDATA[Departamento de Estadística - Universidad Nacional de Colombia.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0120-17512012000300005</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Goodness of Fit Tests for the Gumbel Distribution with Type II right Censored data]]></article-title>
<article-title xml:lang="es"><![CDATA[Pruebas de bondad de ajuste para la distribución Gumbel con datos censurados por la derecha tipo II]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[SALINAS]]></surname>
<given-names><![CDATA[VÍCTOR]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[PÉREZ]]></surname>
<given-names><![CDATA[PAULINO]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[GONZÁLEZ]]></surname>
<given-names><![CDATA[ELIZABETH]]></given-names>
</name>
<xref ref-type="aff" rid="A03"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[VAQUERA]]></surname>
<given-names><![CDATA[HUMBERTO]]></given-names>
</name>
<xref ref-type="aff" rid="A04"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Colegio de Postgraduados Socio Economía Estadística e Informática Estadística]]></institution>
<addr-line><![CDATA[Texcoco ]]></addr-line>
<country>México</country>
</aff>
<aff id="A02">
<institution><![CDATA[,Colegio de Postgraduados Socio Economía Estadística e Informática Estadística]]></institution>
<addr-line><![CDATA[Texcoco ]]></addr-line>
<country>México</country>
</aff>
<aff id="A03">
<institution><![CDATA[,Colegio de Postgraduados Socio Economía Estadística e Informática Estadística]]></institution>
<addr-line><![CDATA[Texcoco ]]></addr-line>
<country>México</country>
</aff>
<aff id="A04">
<institution><![CDATA[,Colegio de Postgraduados Socio Economía Estadística e Informática Estadística]]></institution>
<addr-line><![CDATA[Texcoco ]]></addr-line>
<country>México</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2012</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2012</year>
</pub-date>
<volume>35</volume>
<numero>3</numero>
<fpage>409</fpage>
<lpage>424</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0120-17512012000300005&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0120-17512012000300005&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0120-17512012000300005&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[In this article goodness of fit tests for the Gumbel distribution with type II right censored data are proposed. One test is based in earlier works using the Kullback Leibler information modified for censored data. The other tests are based on the sample correlation coefficient and survival analysis concepts. The critical values of the tests were obtained by Monte Carlo simulation for different sample sizes and percentages of censored data. The powers of the proposed tests were compared under several alternatives. The simulation results show that the test based on the Kullback-Leibler information is superior in terms of power to the correlation tests.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[En este artículo se proponen pruebas de bondad de ajuste para la distribución Gumbel para datos censurados por la derecha Tipo II. Una prueba se basa en trabajos previos en los que se modifica la información de Kullback-Leibler para datos censurados. Las otras pruebas se basan en el coeficiente de correlación muestral y en conceptos de análisis de supervivencia. Los valores críticos se obtuvieron mediante simulación Monte Carlo para diferentes tamaños de muestras y porcentajes de censura. La potencia de la pruebas se compararon bajo varias alternativas. Los resultados de la simulación muestran que la prueba basada en la Divergencia de Kullback-Leibler es superior a las pruebas de correlación en términos de potencia.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Correlation coefficient]]></kwd>
<kwd lng="en"><![CDATA[Entropy]]></kwd>
<kwd lng="en"><![CDATA[Monte Carlo simulation]]></kwd>
<kwd lng="en"><![CDATA[Power of a test]]></kwd>
<kwd lng="es"><![CDATA[coeficiente de correlación]]></kwd>
<kwd lng="es"><![CDATA[entropía]]></kwd>
<kwd lng="es"><![CDATA[potencia de una prueba]]></kwd>
<kwd lng="es"><![CDATA[simulación Monte Carlo]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[  <font size="2" face="verdana">      <p> <b> <font size="4">     <center> Goodness of Fit Tests for the Gumbel Distribution with Type II right Censored data </center> </font> </b> </p>      <p> <b> <font size="3">     <center> Pruebas de bondad de ajuste para la distribuci&oacute;n Gumbel con datos censurados por la derecha tipo II </center> </font> </b> </p>      <p>     <center> V&Iacute;CTOR SALINAS<sup>1</sup>,  PAULINO P&Eacute;REZ<sup>2</sup>,  ELIZABETH GONZ&Aacute;LEZ<sup>3</sup>,  HUMBERTO VAQUERA<sup>4</sup> </center> </p>      <p> <sup>1</sup>Colegio de Postgraduados, Socio Econom&iacute;a Estad&iacute;stica e Inform&aacute;tica, Estad&iacute;stica, Texcoco, M&eacute;xico. Student. Email: <a href="mailto:salinas.victor@colpos.mx">salinas.victor@colpos.mx</a>     <br>  <sup>2</sup>Colegio de Postgraduados, Socio Econom&iacute;a Estad&iacute;stica e Inform&aacute;tica, Estad&iacute;stica, Texcoco, M&eacute;xico. Professor. Email: <a href="mailto:perpdgo@colpos.mx">perpdgo@colpos.mx</a>     <br>  <sup>3</sup>Colegio de Postgraduados, Socio Econom&iacute;a Estad&iacute;stica e Inform&aacute;tica, Estad&iacute;stica, Texcoco, M&eacute;xico. Professor. Email: <a href="mailto:egonzalez@colpos.mx">egonzalez@colpos.mx</a>     ]]></body>
<body><![CDATA[<br>  <sup>4</sup>Colegio de Postgraduados, Socio Econom&iacute;a Estad&iacute;stica e Inform&aacute;tica, Estad&iacute;stica, Texcoco, M&eacute;xico. Professor. Email: <a href="mailto:hvaquera@colpos.mx">hvaquera@colpos.mx</a>     <br> </p>  <hr size="1">      <p> <b>     <center> Abstract </center> </b> </p>      <p> In this article goodness of fit tests for the Gumbel distribution with type II right censored data are proposed. One test is based in earlier works using the Kullback Leibler information modified for censored data. The other tests are based on the sample correlation coefficient and survival analysis concepts. The critical values of the tests were obtained by Monte Carlo simulation for different sample sizes and percentages of censored data. The powers of the proposed tests were compared under several alternatives. The simulation results show that the test based on the Kullback-Leibler information is superior in terms of power to the correlation tests. </p>      <p> <b> Key words: </b> Correlation coefficient, Entropy, Monte Carlo simulation, Power of a test. </p>  <hr size="1">      <p> <b>     <center> Resumen </center> </b> </p>      <p> En este art&iacute;culo se proponen pruebas de bondad de ajuste para la distribuci&oacute;n Gumbel para datos censurados por la derecha Tipo II. Una prueba se basa en trabajos previos en los que se modifica la informaci&oacute;n de Kullback-Leibler para datos censurados. Las otras pruebas se basan en el coeficiente de correlaci&oacute;n muestral y en conceptos de an&aacute;lisis de supervivencia. Los valores cr&iacute;ticos se obtuvieron mediante simulaci&oacute;n Monte Carlo para diferentes tama&ntilde;os de muestras y porcentajes de censura. La potencia de la pruebas se compararon bajo varias alternativas. Los resultados de la simulaci&oacute;n muestran que la prueba basada en la Divergencia de Kullback-Leibler es superior a las pruebas de correlaci&oacute;n en t&eacute;rminos de potencia. </p>      <p> <b> Palabras clave: </b> coeficiente de correlaci&oacute;n, entrop&iacute;a, potencia de una prueba, simulaci&oacute;n Monte Carlo. </p>  <hr size="1">      ]]></body>
<body><![CDATA[<p> Texto completo disponible en <a href="pdf/rce/v35n3/v35n3a05.pdf">PDF</a> </p>  <hr size="1">      <p> <b> <font size="3"> References </font> </b> </p>       <!-- ref --><p> 1. Aalen, O. (1978), 'Nonparametric inference for a family of counting processes', <i>Annals of Statistics</i> <b>6</b>(4), 701-726.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000025&pid=S0120-1751201200030000500001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --> </p>      <!-- ref --><p> 2. Balakrishnan, N. & Chen, W. 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<body><![CDATA[<!-- ref --><p> 17. Xia, Z. P., Yu, J. Y., Cheng, L. D., Liu, L. F. & Wang, W. M. (2009), 'Study on the breaking strength of jute fibres using modified Weibull distribution', <i>Composites Part A: Applied Science and Manufacturing</i> <b>40</b>(1), 54 - 59. *<a href="http://www.sciencedirect.com/science/article/pii/S1359835X08002595">http://www.sciencedirect.com/science/article/pii/S1359835X08002595</a> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000053&pid=S0120-1751201200030000500017&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><center> <b>&#91;Recibido en septiembre de 2011. Aceptado en septiembre de 2012&#93;</b> </center> <hr size="1">      <p> Este art&iacute;culo se puede citar en <i>LaTeX</i> utilizando la siguiente referencia bibliogr&aacute;fica de <i>BibTeX</i>: </p> <code><font size="2">@ARTICLE{RCEv35n3a05,    <br>  &nbsp;&nbsp;&nbsp; AUTHOR &nbsp;= {Salinas, V&iacute;ctor and P&eacute;rez, Paulino and Gonz&aacute;lez, Elizabeth and Vaquera, Humberto},    <br>  &nbsp;&nbsp;&nbsp; TITLE &nbsp; = {{Goodness of Fit Tests for the Gumbel Distribution with Type II right Censored data}},    <br>  &nbsp;&nbsp;&nbsp; JOURNAL = {Revista Colombiana de Estad&iacute;stica},    <br> &nbsp;&nbsp;&nbsp; YEAR &nbsp;&nbsp; = {2012},    <br> &nbsp;&nbsp;&nbsp; volume &nbsp;= {35},    <br> &nbsp;&nbsp;&nbsp; number &nbsp;= {3},    <br> &nbsp;&nbsp;&nbsp; pages &nbsp; = {409-424}    ]]></body>
<body><![CDATA[<br> }</font></code>  <hr size="1"> </font>      ]]></body><back>
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