<?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>S0120-17512017000200002</article-id>
<article-id pub-id-type="doi">10.15446/rce.v40n2.58944</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Entropy Estimation From Ranked Set Samples With Application to Test of Fit]]></article-title>
<article-title xml:lang="es"><![CDATA[Estimación de entropía de muestras de rango ordenado con aplicación a pruebas de ajuste]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[ZAMANZADE]]></surname>
<given-names><![CDATA[EHSAN]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[MAHDIZADEH]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,University of Isfahan  Department of Statistics]]></institution>
<addr-line><![CDATA[Isfahan ]]></addr-line>
<country>Iran</country>
</aff>
<aff id="A02">
<institution><![CDATA[,Hakim Sabzevari University  Department of Statistics]]></institution>
<addr-line><![CDATA[Sabzevar ]]></addr-line>
<country>Iran</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2017</year>
</pub-date>
<volume>40</volume>
<numero>2</numero>
<fpage>223</fpage>
<lpage>241</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0120-17512017000200002&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0120-17512017000200002&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0120-17512017000200002&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[This article deals with entropy estimation using ranked set sampling (RSS). Some estimators are developed based on the empirical distribution function and its nonparametric maximum likelihood competitor. The suggested entropy estimators have smaller root mean squared errors than the other entropy estimators in the literature. The proposed estimators are then used to construct goodness of fit tests for inverse Gaussian distribution.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Este artículo trata sobre la estimación de entropía usando muestras de rango ordenado (RSS). Algunos estimadores se desarrollan con base en distribuciones empíricas y si estimación no paramétrica de máxima verosimilitud. Los estimadores de entropía sugeridos tienen menor raíz del error de cuadrados medios que otros reportados en literatura. Los estimadores propuestos son usados para construir pruebas de bondad de ajuste para distribuciones inversas Gaussianas.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Judgment ranking]]></kwd>
<kwd lng="en"><![CDATA[Goodness of fit test]]></kwd>
<kwd lng="en"><![CDATA[Entropy estimation]]></kwd>
<kwd lng="es"><![CDATA[Bondad de ajuste]]></kwd>
<kwd lng="es"><![CDATA[Estimación de entropía]]></kwd>
<kwd lng="es"><![CDATA[Ranking de juicios]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <p align="left"><a href="http://dx.doi.org/10.15446/rce.v40n2.58944" target="_blank"> http://dx.doi.org/10.15446/rce.v40n2.58944</a></p> <font size="2" face="verdana">      <p> <b> <font size="4">     <center> Entropy Estimation From Ranked Set Samples With Application to Test of Fit </center> </font> </b> </p>      <p> <b> <font size="3">     <center> Estimaci&oacute;n de entrop&iacute;a de muestras de rango ordenado  con aplicaci&oacute;n a pruebas de ajuste </center> </font> </b> </p>      <p>     <center> EHSAN ZAMANZADE<sup>1</sup>,  M. MAHDIZADEH<sup>2</sup> </center> </p>      <p> <sup>1</sup>University of Isfahan, Department of Statistics, Isfahan, Iran. PhD. Email: <a href="mailto:e.zamanzade@sci.ui.ac.ir; ehsanzamanzadeh@yahoo.com">e.zamanzade@sci.ui.ac.ir; ehsanzamanzadeh@yahoo.com</a>     <br>  <sup>2</sup>Hakim Sabzevari University, Department of Statistics, Sabzevar, Iran. PhD. Email: <a href="mailto:mahdizadeh.m@live.com">mahdizadeh.m@live.com</a>     <br> </p>  <hr size="1">      ]]></body>
<body><![CDATA[<p> <b>     <center> Abstract </center> </b> </p>      <p> This article deals with entropy estimation using ranked set sampling (RSS). Some estimators are developed based on the empirical distribution function and its nonparametric maximum likelihood competitor. The suggested entropy estimators have smaller root mean squared errors than the other entropy estimators in the literature. The proposed estimators are then used to construct goodness of fit tests for inverse Gaussian distribution. </p>      <p> <b> Key words: </b> Judgment ranking, Goodness of fit test, Entropy estimation. </p>  <hr size="1">      <p> <b>     <center> Resumen </center> </b> </p>      <p> Este art&iacute;culo trata sobre la estimaci&oacute;n de entrop&iacute;a usando muestras de rango ordenado (RSS). Algunos estimadores se desarrollan con base en distribuciones emp&iacute;ricas y si estimaci&oacute;n no param&eacute;trica de m&aacute;xima verosimilitud. Los estimadores de entrop&iacute;a sugeridos tienen menor ra&iacute;z del error de cuadrados medios que otros reportados en literatura. Los estimadores propuestos son usados para construir pruebas de bondad de ajuste para distribuciones inversas Gaussianas. </p>      <p> <b> Palabras clave: </b> Bondad de ajuste, Estimaci&oacute;n de entrop&iacute;a, Ranking de juicios. </p>  <hr size="1">      <p> Texto completo disponible en <a href="pdf/rce/v40n2/v40n2a02.pdf">PDF</a> </p>  <hr size="1">      <p> <b> <font size="3"> References </font> </b> </p>       ]]></body>
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<body><![CDATA[<!-- ref --><p> 31. Zamanzade, E. & Vock, M. (2015), 'Variance estimation in ranked set sampling using a concomitant variable', <i>Statistics & Probability Letters</i> <b>105</b>, 1-5.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=2603323&pid=S0120-1751201700020000200031&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --> </p>  <hr size="1">      <center> <b>&#91;Recibido en octubre de 2016. Aceptado en abril de 2017&#93;</b> </center> <hr size="1">      <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{RCEv40n2a02,    <br>  &nbsp;&nbsp;&nbsp; AUTHOR &nbsp;= {Zamanzade, Ehsan and Mahdizadeh, M.},    <br>  &nbsp;&nbsp;&nbsp; TITLE &nbsp; = {{Entropy Estimation From Ranked Set Samples With Application to Test of Fit}},    <br>  &nbsp;&nbsp;&nbsp; JOURNAL = {Revista Colombiana de Estad&iacute;stica},    <br> &nbsp;&nbsp;&nbsp; YEAR &nbsp;&nbsp; = {2017},    <br> &nbsp;&nbsp;&nbsp; volume &nbsp;= {40},    <br> &nbsp;&nbsp;&nbsp; number &nbsp;= {2},    ]]></body>
<body><![CDATA[<br> &nbsp;&nbsp;&nbsp; pages &nbsp; = {223-241}    <br> }</font></code>  <hr size="1"> </font>      ]]></body><back>
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