<?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>S0120-17512009000100002</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Optimality Criteria for Models with Random Effects]]></article-title>
<article-title xml:lang="es"><![CDATA[Criterios de optimalidad para los modelos con efectos aleatorios]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[HOOKS]]></surname>
<given-names><![CDATA[TISHA]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[MARX]]></surname>
<given-names><![CDATA[DAVID]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[KACHMAN]]></surname>
<given-names><![CDATA[STEPHEN]]></given-names>
</name>
<xref ref-type="aff" rid="A03"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[PEDERSEN]]></surname>
<given-names><![CDATA[JEFFREY]]></given-names>
</name>
<xref ref-type="aff" rid="A04"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Winona State University  Department of Mathematics and Statistics]]></institution>
<addr-line><![CDATA[Winona ]]></addr-line>
<country>United States</country>
</aff>
<aff id="A02">
<institution><![CDATA[,University of Nebraska  Department of Statistics]]></institution>
<addr-line><![CDATA[Lincoln ]]></addr-line>
<country>United States</country>
</aff>
<aff id="A03">
<institution><![CDATA[,University of Nebraska  Department of Statistics]]></institution>
<addr-line><![CDATA[Lincoln ]]></addr-line>
<country>United States</country>
</aff>
<aff id="A04">
<institution><![CDATA[,University of Nebraska USDA-ARS Research Department of Agronomy and Horticulture]]></institution>
<addr-line><![CDATA[Lincoln ]]></addr-line>
<country>United States</country>
</aff>
<pub-date pub-type="pub">
<day>15</day>
<month>06</month>
<year>2009</year>
</pub-date>
<pub-date pub-type="epub">
<day>15</day>
<month>06</month>
<year>2009</year>
</pub-date>
<volume>32</volume>
<numero>1</numero>
<fpage>17</fpage>
<lpage>31</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0120-17512009000100002&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0120-17512009000100002&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0120-17512009000100002&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[In the context of linear models, an optimality criterion is developed for models that include random effects. Traditional information-based criteria are premised on all model effects being regarded as fixed. When treatments and/or nuisance parameters are assumed to be random effects, an appropriate optimality criterion can be developed under the same conditions. This paper introduces such a criterion, and this criterion also allows for the inclusion of fixed and/or random nuisance parameters in the model and for the presence of a general covariance structure. Also, a general formula is presented for which all previously published optimality criteria are special cases.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[En el contexto de modelos lineales, los criterios de optimalidad se cons- truyen para los modelos que incluyen efectos aleatorios. Tradicionalmente los criterios basados en la información asumen que todos los efectos en el modelo se consideran fijos. Cuando los parámetros, tratamientos o molestias son considerados efectos aleatorios, un criterio adecuado de optimalidad se puede desarrollar en las mismas condiciones. En este trabajo se introduce ese criterio, que permite la inclusión en el modelo de parámetros que representan molestias fijas o al azar, además de una estructura general de covarianza. También, se presenta una fórmula general para la cual en todos los casos publicados anteriormente, los criterios de optimalidad son casos especiales.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Optimal design]]></kwd>
<kwd lng="en"><![CDATA[Information matrix]]></kwd>
<kwd lng="en"><![CDATA[Nuisance parameter]]></kwd>
<kwd lng="en"><![CDATA[Covariance structure]]></kwd>
<kwd lng="en"><![CDATA[Mixed model]]></kwd>
<kwd lng="es"><![CDATA[diseño óptimo]]></kwd>
<kwd lng="es"><![CDATA[matrix informativa]]></kwd>
<kwd lng="es"><![CDATA[parametros molestos]]></kwd>
<kwd lng="es"><![CDATA[estructura de covarianza]]></kwd>
<kwd lng="es"><![CDATA[modelo mixto]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ 
<font size="2" face="verdana">

    <p>
<b>
<font size="4">
    <center>
Optimality Criteria for Models with Random Effects
</center>
</font>
</b>
</p>

    <p>
<b>
<font size="3">
    <center>
Criterios de optimalidad para los modelos con efectos aleatorios
</center>
</font>
</b>
</p>

    <p>
    <center>
TISHA HOOKS<sup>1</sup>, 
DAVID MARX<sup>2</sup>, 
STEPHEN KACHMAN<sup>3</sup>, 
JEFFREY PEDERSEN<sup>4</sup>
</center>
</p>

    <p>
<sup>1</sup>Winona State University, Department of Mathematics and Statistics, Winona, United States. Assistant professor. Email: <a href="mailto:THooks@winona.edu">THooks@winona.edu</a>
    <br>

<sup>2</sup>University of Nebraska, Department of Statistics, Lincoln, United States. Professor. Email: <a href="mailto:DMarx1@unl.edu">DMarx1@unl.edu</a>
    <br>

<sup>3</sup>University of Nebraska, Department of Statistics, Lincoln, United States. Professor. Email: <a href="mailto:SKachman1@unl.edu">SKachman1@unl.edu</a>
    ]]></body>
<body><![CDATA[<br>

<sup>4</sup>University of Nebraska, USDA-ARS Research, Department of Agronomy and Horticulture, Lincoln, United States. Geneticist and professor. Email: <a href="mailto:JPedersen1@unl.edu">JPedersen1@unl.edu</a>
    <br>
</p>

<hr size="1">

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

    <p>
In the context of linear models, an optimality criterion is developed for models that include random effects. Traditional information-based criteria are premised on all model effects being regarded as fixed. When treatments and/or nuisance parameters are assumed to be random effects, an appropriate optimality criterion can be developed under the same conditions. This paper introduces such a criterion, and this criterion also allows for the inclusion of fixed and/or random nuisance parameters in the model and for the presence of a general covariance structure. Also, a general formula is presented for which all previously published optimality criteria are special cases.
</p>

    <p>
<b>
Key words:
</b>
Optimal design,
Information matrix,
Nuisance parameter,
Covariance structure,
Mixed model.
</p>

<hr size="1">

    <p>
<b>
    <center>
Resumen
</center>
</b>
</p>

    <p>
En el contexto de modelos lineales, los criterios de optimalidad se cons- truyen para los modelos que incluyen efectos aleatorios. Tradicionalmente los criterios basados en la informaci&oacute;n asumen que todos los efectos en el modelo se consideran fijos. Cuando los par&aacute;metros, tratamientos o molestias son considerados efectos aleatorios, un criterio adecuado de optimalidad se puede desarrollar en las mismas condiciones. En este trabajo se introduce ese criterio, que permite la inclusi&oacute;n en el modelo de par&aacute;metros que representan molestias fijas o al azar, adem&aacute;s de una estructura general de covarianza. Tambi&eacute;n, se presenta una f&oacute;rmula general para la cual en todos los casos publicados anteriormente, los criterios de optimalidad son casos especiales.
</p>

    <p>
<b>
Palabras clave:
</b>
dise&ntilde;o &oacute;ptimo,
matrix informativa,
parametros molestos,
estructura de covarianza,
modelo mixto.
</p>

<hr size="1">

    ]]></body>
<body><![CDATA[<p>
Texto completo disponible en <a href="pdf/rce/v32n1/v32n1a02.pdf">PDF</a>
</p>

<hr size="1">

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


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<b>&#91;Recibido en agosto de 2008. Aceptado en diciembre de 2008&#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{RCEv32n1a02,    <br>
 &nbsp;&nbsp;&nbsp; AUTHOR &nbsp;= {Hooks, Tisha and Marx, David and Kachman, Stephen and Pedersen, Jeffrey},    <br>
 &nbsp;&nbsp;&nbsp; TITLE &nbsp; = {{Optimality Criteria for Models with Random Effects}},    <br>
 &nbsp;&nbsp;&nbsp; JOURNAL = {Revista Colombiana de Estad&iacute;stica},    <br>
&nbsp;&nbsp;&nbsp; YEAR &nbsp;&nbsp; = {2009},    <br>
&nbsp;&nbsp;&nbsp; volume &nbsp;= {32},    <br>
&nbsp;&nbsp;&nbsp; number &nbsp;= {1},    <br>
&nbsp;&nbsp;&nbsp; pages &nbsp; = {17-31}    <br>
}</font></code>

<hr size="1">
</font>
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