<?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>1405-3195</journal-id>
<journal-title><![CDATA[Agrociencia]]></journal-title>
<abbrev-journal-title><![CDATA[Agrociencia]]></abbrev-journal-title>
<issn>1405-3195</issn>
<publisher>
<publisher-name><![CDATA[Colegio de Postgraduados]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-31952006000100117</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Región confidencial para el óptimo económico de una función de producción Cobb-Douglas]]></article-title>
<article-title xml:lang="en"><![CDATA[Confidence region for economic optima of a Cobb-Douglas production function]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Castellanos-Pérez]]></surname>
<given-names><![CDATA[Miroslava]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Martínez-Garza]]></surname>
<given-names><![CDATA[Ángel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Beatriz-Colmenares]]></surname>
<given-names><![CDATA[Ciolys]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Martínez-Damián]]></surname>
<given-names><![CDATA[Miguel Á.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rendón-Sánchez]]></surname>
<given-names><![CDATA[Gilberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Colegio de Postgraduados  ]]></institution>
<addr-line><![CDATA[Montecillo Estado de México]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Colegio de Postgraduados  ]]></institution>
<addr-line><![CDATA[Montecillo Estado de México]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>02</month>
<year>2006</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>02</month>
<year>2006</year>
</pub-date>
<volume>40</volume>
<numero>1</numero>
<fpage>117</fpage>
<lpage>124</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-31952006000100117&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-31952006000100117&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-31952006000100117&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El modelo Cobb-Douglas se emplea con frecuencia en investigaciones agroeconómicas para modelar funciones de producción. Es no lineal en los parámetros cuando los errores suponen aditivos. Estimados los parámetros del modelo, los estimadores correspondientes se insertan en la expresión matemática para el óptimo económico, el punto donde se maximiza el ingreso neto, obteniéndose un estimador puntual para el óptimo. Éste es una variable aleatoria. Cuando se desea estimar el óptimo económico para una región confidencial, se usan métodos de regresión no lineal. En este trabajo se construye una región confidencial para el óptimo económico de una función de producción Cobb-Douglas bivariada, empleando la técnica de Wald, descrita por Gallant (1987).]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The Cobb-Douglas model is often used in agro-economic research to model production functions. It is non-linear in the parameters when the errors are assumed additive. Once the parameters of the model are estimated, the corresponding estimators are inserted into the mathematical expression for the economic optima, the value where net income is maximized, obtaining a point estimator for the optima. This is a random variable. When an economic optima is to be estimated for a confidence region, non-linear regression methods are used. In this study a confidence region is constructed for the economic optima of a Cobb-Douglas bivariate production function, using the Wald technique described by Gallant (1987).]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Función de producción]]></kwd>
<kwd lng="es"><![CDATA[modelo Cobb-Douglas]]></kwd>
<kwd lng="es"><![CDATA[región confidencial]]></kwd>
<kwd lng="en"><![CDATA[Production function]]></kwd>
<kwd lng="en"><![CDATA[Cobb-Douglas model]]></kwd>
<kwd lng="en"><![CDATA[confidence region]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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