<?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>S0120-17512011000200004</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Análisis bivariado de confiabilidad basado en cópulas]]></article-title>
<article-title xml:lang="en"><![CDATA[Reliability Bivariate Analysis Based on Copulas]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[VILLA-DIHARCE]]></surname>
<given-names><![CDATA[ENRIQUE RAÚL]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[MONJARDIN]]></surname>
<given-names><![CDATA[PEDRO ENRIQUE]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Centro de Investigación en Matemáticas A. C.  ]]></institution>
<addr-line><![CDATA[Guanajuato ]]></addr-line>
<country>México</country>
</aff>
<aff id="A02">
<institution><![CDATA[,Centro de Investigación en Matemáticas A. C.  ]]></institution>
<addr-line><![CDATA[Guanajuato ]]></addr-line>
<country>México</country>
</aff>
<pub-date pub-type="pub">
<day>15</day>
<month>06</month>
<year>2011</year>
</pub-date>
<pub-date pub-type="epub">
<day>15</day>
<month>06</month>
<year>2011</year>
</pub-date>
<volume>34</volume>
<numero>2</numero>
<fpage>267</fpage>
<lpage>285</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0120-17512011000200004&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0120-17512011000200004&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0120-17512011000200004&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[En la industria se requieren estudios de confiabilidad para asegurar el nivel de calidad de los productos que se fabrican. Algunas veces tales productos tienen varios modos de falla que deben considerarse en el análisis de confiabilidad. Este análisis se complica cuando se incluye el patrón de dependencia de los modos de falla. En este artículo se muestra el análisis de confiabilidad de componentes que presentan dos modos de falla dependientes, expresando el patrón de dependencia de ambos modos de falla por medio de una función de cópula. Esta representación es adecuada, debido a que las distribuciones de los tiempos de falla son diferentes, Lognormal y Weibull. Se presenta un ejemplo donde se ilustra el análisis de confiabilidad de componentes con dos modos de falla.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[In industry, reliability studies are done to assure the quality level of products manufactured. Sometimes these products have several failure modes that must be considered in reliability analysis. This analysis is complicated when the dependence pattern is included. In this article a reliability analysis of components that have two dependent failure modes is proposed. The dependence pattern is expressed through a copula function, this representation is appropriate, because the marginal distributions of failure times are from different families, Lognormal and Weibull. We provide an example which illustrates the reliability analysis of components with two failure modes.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[cópula]]></kwd>
<kwd lng="es"><![CDATA[distribución bivariada]]></kwd>
<kwd lng="es"><![CDATA[estimación en dos etapas]]></kwd>
<kwd lng="es"><![CDATA[función de confiabilidad]]></kwd>
<kwd lng="es"><![CDATA[función de verosimilitud]]></kwd>
<kwd lng="en"><![CDATA[Bivariate distribution]]></kwd>
<kwd lng="en"><![CDATA[Copula]]></kwd>
<kwd lng="en"><![CDATA[Likelihoodfunction]]></kwd>
<kwd lng="en"><![CDATA[Reliability function]]></kwd>
<kwd lng="en"><![CDATA[Two-stage estimation]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ 
<font size="2" face="verdana">

    <p>
<b>
<font size="4">
    <center>
An&aacute;lisis bivariado de confiabilidad basado en c&oacute;pulas
</center>
</font>
</b>
</p>

    <p>
<b>
<font size="3">
    <center>
Reliability Bivariate Analysis Based on Copulas
</center>
</font>
</b>
</p>

    <p>
    <center>
ENRIQUE RA&Uacute;L VILLA-DIHARCE<sup>1</sup>, 
PEDRO ENRIQUE MONJARDIN<sup>2</sup>
</center>
</p>

    <p>
<sup>1</sup>Centro de Investigaci&oacute;n en Matem&aacute;ticas A. C., Guanajuato, M&eacute;xico. Profesor e investigador. Email: <a href="mailto:villadi@cimat.mx">villadi@cimat.mx</a>
    <br>

<sup>2</sup>Centro de Investigaci&oacute;n en Matem&aacute;ticas A. C., Guanajuato, M&eacute;xico. Estudiante de doctorado. Email: <a href="mailto:pemo@cimat.mx">pemo@cimat.mx</a>
    <br>
</p>

<hr size="1">

    ]]></body>
<body><![CDATA[<p>
<b>
    <center>
Resumen
</center>
</b>
</p>

    <p>
En la industria se requieren estudios de confiabilidad para asegurar el nivel de calidad de los productos que se fabrican. Algunas veces tales productos tienen varios modos de falla que deben considerarse en el an&aacute;lisis de confiabilidad. Este an&aacute;lisis se complica cuando se incluye el patr&oacute;n de dependencia de los modos de falla. En este art&iacute;culo se muestra el an&aacute;lisis de confiabilidad de componentes que presentan dos modos de falla dependientes, expresando el patr&oacute;n de dependencia de ambos modos de falla por medio de una funci&oacute;n de c&oacute;pula. Esta representaci&oacute;n es adecuada, debido a que las distribuciones de los tiempos de falla son diferentes, Lognormal y Weibull. Se presenta un ejemplo donde se ilustra el an&aacute;lisis de confiabilidad de componentes con dos modos de falla.
</p>

    <p>
<b>
Palabras clave:
</b>
c&oacute;pula,
distribuci&oacute;n bivariada,
estimaci&oacute;n en dos etapas,
funci&oacute;n de confiabilidad,
funci&oacute;n de  verosimilitud.
</p>

<hr size="1">

    <p>
<b>
    <center>
Abstract
</center>
</b>
</p>

    <p>
In industry, reliability studies are done to assure the quality level of products manufactured. Sometimes these products have several failure modes that must be considered in reliability analysis. This analysis is complicated when the dependence pattern is included. In this article a reliability analysis of components that have two dependent failure modes is proposed. The dependence pattern is expressed through a copula function, this representation is appropriate, because the marginal distributions of failure times are from different families, Lognormal and Weibull. We provide an example which illustrates the reliability analysis of components with two failure modes.
</p>

    <p>
<b>
Key words:
</b>
Bivariate distribution,
Copula,
Likelihoodfunction,
Reliability function,
Two-stage estimation.
</p>

<hr size="1">

    <p>
Texto completo disponible en <a href="pdf/rce/v34n2/v34n2a04.pdf">PDF</a>
</p>

<hr size="1">

    <p>
<b>
<font size="3">
Referencias
</font>
</b>
</p>


    ]]></body>
<body><![CDATA[<!-- ref --><p>
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<b>&#91;Recibido en agosto de 2010. Aceptado en febrero de 2011&#93;</b>
</center>
<hr size="1">

    ]]></body>
<body><![CDATA[<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{RCEv34n2a04,    <br>
 &nbsp;&nbsp;&nbsp; AUTHOR &nbsp;= {Villa-Diharce, Enrique Ra&uacute;l and Monjardin, Pedro Enrique},    <br>
 &nbsp;&nbsp;&nbsp; TITLE &nbsp; = {{An&aacute;lisis bivariado de confiabilidad basado en c&oacute;pulas}},    <br>
 &nbsp;&nbsp;&nbsp; JOURNAL = {Revista Colombiana de Estad&iacute;stica},    <br>
&nbsp;&nbsp;&nbsp; YEAR &nbsp;&nbsp; = {2011},    <br>
&nbsp;&nbsp;&nbsp; volume &nbsp;= {34},    <br>
&nbsp;&nbsp;&nbsp; number &nbsp;= {2},    <br>
&nbsp;&nbsp;&nbsp; pages &nbsp; = {267-285}    <br>
}</font></code>

<hr size="1">
</font>
     ]]></body><back>
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