<?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>2477-9105</journal-id>
<journal-title><![CDATA[Perfiles]]></journal-title>
<abbrev-journal-title><![CDATA[Perfiles]]></abbrev-journal-title>
<issn>2477-9105</issn>
<publisher>
<publisher-name><![CDATA[Escuela Superior Politécnica de Chimborazo]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2477-91052021000200062</article-id>
<article-id pub-id-type="doi">10.47187/perf.v1i26.138</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[APLICACIÓN DE PRUEBAS NO PARAMÉTRICAS PARA K-MUESTRAS PARA IDENTIFICAR CAMBIOS EN LA DISTRIBUCIÓN DEL INGRESO EN ECUADOR 2006-2016.]]></article-title>
<article-title xml:lang="en"><![CDATA[Analysis of changes in income distribution, between 2006 t0 2016, applying non- parametric k-sample tests.]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Roldan]]></surname>
<given-names><![CDATA[Liliana]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Flores]]></surname>
<given-names><![CDATA[Miguel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cabezas-Martínez]]></surname>
<given-names><![CDATA[Ana]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Escuela Politécnica Nacional Facultad de Ciencias, Departamento de Matemáticas MODES / SIGTI]]></institution>
<addr-line><![CDATA[Quito ]]></addr-line>
<country>Ecuador</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Facultad Latinoamericana de Ciencias Sociales  Departamento de Estudios Políticos]]></institution>
<addr-line><![CDATA[Quito ]]></addr-line>
<country>Ecuador</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2021</year>
</pub-date>
<volume>1</volume>
<numero>26</numero>
<fpage>62</fpage>
<lpage>82</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.senescyt.gob.ec/scielo.php?script=sci_arttext&amp;pid=S2477-91052021000200062&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.senescyt.gob.ec/scielo.php?script=sci_abstract&amp;pid=S2477-91052021000200062&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.senescyt.gob.ec/scielo.php?script=sci_pdf&amp;pid=S2477-91052021000200062&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN En este trabajo se analiza la distribución personal de los ingresos en distintos niveles: nacional, pro vincial y por actividad económica para el período 2006-2016, a partir de la información de las encuestas de hogares. Para probar si los cambios en la distribución del ingreso personal a través del tiempo son estadísticamente significativos, se aplican pruebas no paramétricas para k muestras basadas en la Función de Distribución Empírica (FDE) y la Función de Densidad de Núcleo (KDE). Los resultados muestran que, efectivamente en el período de tiempo analizado, hubo cambios en la distribución de los ingresos personales, principalmente en la localización, más que en la forma, donde las pruebas a partir de la FDE tienen un buen desempeño. En tanto que, a nivel territorial se evidenciaron cambios en la forma de la distribución como es el caso Chimborazo, donde las pruebas basadas en la KDE, como la norma L1 o el Área Común, rechazaron la hipótesis nula.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT This paper analyzes the personal income distribution at different levels: national, provincial and by economic activity for the 2006-2016 period, based on information from household surveys. To test whether changes in the distribution of personal income over time are statistically significant, non-parametric tests for k samples, based on the Empirical Distribution Function (EDF) and the Kernel Density Function (KDE) are applied. The results show that, indeed in the time period analyzed, there were changes in the distribution of personal income, mainly in location, rather than in form, where the tests based on the EDF perform well. Meanwhile, at the territorial level, changes in the shape of the distribution were evidenced, as in the case of Chimborazo, where the tests based on the KDE, such as the L1 norm or the Common Area, rejected the null hypothesis.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Ingreso]]></kwd>
<kwd lng="es"><![CDATA[encuestas a hogares]]></kwd>
<kwd lng="es"><![CDATA[desigualdad]]></kwd>
<kwd lng="es"><![CDATA[función de la densidad de núcleo (Kernel)]]></kwd>
<kwd lng="es"><![CDATA[función de distribución empírica]]></kwd>
<kwd lng="es"><![CDATA[programación en R]]></kwd>
<kwd lng="en"><![CDATA[Income]]></kwd>
<kwd lng="en"><![CDATA[household surveys]]></kwd>
<kwd lng="en"><![CDATA[inequality]]></kwd>
<kwd lng="en"><![CDATA[kernel density function]]></kwd>
<kwd lng="en"><![CDATA[empirical distribution function]]></kwd>
<kwd lng="en"><![CDATA[R programming.]]></kwd>
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</article-meta>
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