<?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>2079-3480</journal-id>
<journal-title><![CDATA[Cuban Journal of Agricultural Science]]></journal-title>
<abbrev-journal-title><![CDATA[Cuban J. Agric. Sci.]]></abbrev-journal-title>
<issn>2079-3480</issn>
<publisher>
<publisher-name><![CDATA[Editorial del Instituto de Ciencia Animal]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2079-34802019000100007</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Application of the linear mixed and generalized mixed model as alternatives for analysis in experiments with repeated measures]]></article-title>
<article-title xml:lang="es"><![CDATA[Aplicación del Modelo Lineal Mixto y Lineal Generalizado Mixto, como alternativas de análisis en experimentos con medidas repetidas]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gómez]]></surname>
<given-names><![CDATA[Sarai]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Torres]]></surname>
<given-names><![CDATA[Verena]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Medina]]></surname>
<given-names><![CDATA[Yolaine]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rodríguez]]></surname>
<given-names><![CDATA[Yusleiby]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sardiñas]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Herrera]]></surname>
<given-names><![CDATA[Magaly]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rodríguez]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto de Ciencia Animal  ]]></institution>
<addr-line><![CDATA[San José de las Lajas Mayabeque]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2019</year>
</pub-date>
<volume>53</volume>
<numero>1</numero>
<fpage>7</fpage>
<lpage>12</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2079-34802019000100007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S2079-34802019000100007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S2079-34802019000100007&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Linear mixed and generalized linear mixed models were applied to an experiment with scarified seeds through the process of endozoochory, as tools for processing and analysis with measures repeated over time. Variables analyzed were plant height and stem thickness. Pearson correlation matrix was calculated to determine the existence of association among sampling days. In the analyzed variables, sphericity criterion was used by Bartlett statistic. For both variables, the assumption of normality was verified by Shapiro- Wilk and Kolmogorov-Smirnov tests. In the variable that fulfilled the assumption of normality, a linear mixed model was used. For the variable that was not fulfilled, the generalized linear mixed model was applied. The Poisson, Gamma, Log Normal, Normal and Binomial variants were analyzed to determine data distribution. Several variance-covariance structures were tested to select the best fit and the information criteria that obtained the smallest values were considered. The use of these statistical models allows to adequately control the probability of occurrence of type I error, since it provides greater flexibility and information when selecting the best fit model, in addition to allowing to analyze unbalanced data.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Se aplicaron los modelos Lineal Mixto y Lineal Generalizado Mixto a un experimento con semillas escarificadas mediante el proceso de endozoocoria, como herramientas para el procesamiento y análisis con medidas repetidas en el tiempo. Se analizaron las variables altura de la planta y grosor del tallo. Se calculó la matriz de correlación de Pearson para determinar la existencia de asociación entre los días de muestreo. En las variables analizadas, se utilizó el criterio de esfericidad mediante el estadístico de Bartlett. Para ambas variables, se comprobó el cumplimiento del supuesto de la normalidad por las dócimas de Shapiro-Wilk y Kolmogorov-Smirnov. En la variable que cumplió con el supuesto de la normalidad, se empleó un Modelo Lineal Mixto. Para la que no lo cumplió, se aplicó el Modelo Lineal Generalizado Mixto. Se analizaron las variantes de Poisson, Gamma, Log Normal, Normal y Binomial para determinar la distribución de los datos. Se probaron varias estructuras de varianza-covarianza para seleccionar la de mejor ajuste y se consideraron los criterios de información que obtuvieron los valores más pequeños. La utilización de estos modelos estadísticos permite controlar adecuadamente la probabilidad de ocurrencia del error de tipo I, pues brinda mayor flexibilidad e información al seleccionar el modelo de mejor ajuste, además de que permite analizar datos desbalanceados.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[longitudinal data]]></kwd>
<kwd lng="en"><![CDATA[covariance structures]]></kwd>
<kwd lng="en"><![CDATA[information criteria]]></kwd>
<kwd lng="es"><![CDATA[datos longitudinales]]></kwd>
<kwd lng="es"><![CDATA[estructuras de covarianzas]]></kwd>
<kwd lng="es"><![CDATA[criterios de información]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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