OBTENCIÓN DE LA MATRIZ DE VARIANZAS Y COVARIANZAS A TRAVÉS DE LOS PRODUCTOS KRONECKER PARA MODELOS BALANCEADOS

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google.charts.setOnLoadCallback(drawChart); function getRandomColor() { var letters = '0123456789ABCDEF'; var color = '#'; for (var i = 0; i < 6; i++) { color += letters[Math.floor(Math.random() * 16)]; } return color; } function drawChart() { var data = google.visualization.arrayToDataTable([ ["Element", "Downloads", { role: "style" } ], ["Abstract",25,"#b87333"], ["PDF",148,getRandomColor()], ]); var view = new google.visualization.DataView(data); view.setColumns([0, 1, { calc: "stringify", sourceColumn: 1, type: "string", role: "annotation" }, 2]); var options = { width: 190, height: 200, bar: {groupWidth: "60%"}, legend: { position: "none" }, }; var chart = new google.visualization.BarChart(document.getElementById("barchart_values")); chart.draw(view, options); } </script>  </div>   </div> </div>  <div class="col-md-9">  <div class="download">  <div class=""> <a class="galley-link btn btn-default " role="button" data-type="pdf" href="https://revistas.javeriana.edu.co/index.php/scientarium/article/view/4854/3734"> PDF </a> </div> </div>   <div class="authors"> </br> </br><strong>Luz Marina Moya Moya</strong> <div class="article-author-affilitation"> Departamento de Matemáticas Facultad de Ciencias Pontificia Universidad Javeriana, Bogotá </div> </div>   <br>   <section class="article-more-details"> <h2 class="sr-only">##plugins.themes.bootstrap3.article.details##</h2> <div class="panel panel-default issue"> <div class="panel-heading"> Abstract </div> <div align="justify"> <p>We present a method for constructing variance and covariance matrices for balanced design using the Kronecker product. The method can be applied to fixed, random, or mixed models with any number of factors. The covariance matrices are constructed under the usual infinite and finite model assumptions.</p> </div> </div> <div class="panel panel-default issue"> <div class="panel-heading"> Keywords </div> <div class="panel-body"> </div> </div> <div class="panel panel-default issue"> <div class="panel-heading"> References </div> <div class="panel-body"> </div></div> <div class="panel panel-default citation"> <div class=" panel-heading"> How to Cite </div> <div class="value panel-body"> <div id="citationOutput" role="region" aria-live="polite"> <div class="csl-bib-body"> <div class="csl-entry">Moya Moya, L. M. (2003). OBTENCIÓN DE LA MATRIZ DE VARIANZAS Y COVARIANZAS A TRAVÉS DE LOS PRODUCTOS KRONECKER PARA MODELOS BALANCEADOS. <i>Universitas Scientiarum</i>, <i>8</i>, 39–44. 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class="panel-body"> <a class="title" href="https://revistas.javeriana.edu.co/index.php/scientarium/issue/view/423"> Vol. 8 (2003): Edición especial - Investigaciones en Matemáticas </a> </div> </div> <div class="panel panel-default section"> <div class="panel-heading"> Section </div> <div class="panel-body"> Mathematics and Statistics </div> </div> </section>  </div>  </div> </article> <div id="articlesBySameAuthorList"> <h3>Most read articles by the same author(s)</h3> <ul> <li> Luz Marina Moya Moya, Jesús Fernando Novoa Ramírez, <a href="https://revistas.javeriana.edu.co/index.php/scientarium/article/view/5011"> EJEMPLOS DE AYUDAS PEDAGÓGICAS CON CALCULADORAS PROGRAMABLES PARA EL MEJORAMIENTO DE LA ENSEÑANZA EN MATEMÁTICAS </a>, <a href="https://revistas.javeriana.edu.co/index.php/scientarium/issue/view/430"> Universitas Scientiarum: Vol. 10 (2005): Edición especial I - Investigaciones en Enseñanza de las Ciencias y las Matemáticas </a> </li> </ul> <div 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