<?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>S0120-17512011000100002</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Donde se muestran algunos resultados de atribución de autor en torno a la obra cervantina]]></article-title>
<article-title xml:lang="en"><![CDATA[Wherein are Shown some Results of Autorship Attribution to Cervantes&#39; Work]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[LÓPEZ]]></surname>
<given-names><![CDATA[FREDDY]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Instituto Venezolano de Investigaciones Científicas  Departamento de Matemáticas]]></institution>
<addr-line><![CDATA[Estado Miranda ]]></addr-line>
<country>Venezuela</country>
</aff>
<pub-date pub-type="pub">
<day>15</day>
<month>06</month>
<year>2011</year>
</pub-date>
<pub-date pub-type="epub">
<day>15</day>
<month>06</month>
<year>2011</year>
</pub-date>
<volume>34</volume>
<numero>1</numero>
<fpage>15</fpage>
<lpage>37</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0120-17512011000100002&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0120-17512011000100002&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0120-17512011000100002&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[En este artículo se aplican algunos métodos de clasificación a un conjunto de textos con el objetivo de estudiar la probabilidad que el libro Novela de la tía fingida haya sido escrita por Miguel de Cervantes. Esta novela se le ha atribuido históricamente, pero existen algunas posiciones encontradas al respecto. Los métodos usados en este artículo contemplan: regresión logística, regresión logística aditiva, análisis discriminante lineal, cuadrático, regularizado, de mezclas y flexible, árboles de clasificación, método de los k-ésimos vecinos más cercanos, método de Bayes ingenuo y máquinas de soporte vectorial. Los métodos fueron calibrados y aplicados utilizando un corpus de autores contemporáneos a Cervantes (Lope de Vega, Jerónimo de Pasamonte, Alonso Fernández de Avellaneda, Mateo Alemán y Francisco de Quevedo) junto con más de cuarenta variables, principalmente palabras y signos de puntuación, medidas sobre muestras de los textos escritos por estos autores. Con respecto a estos métodos, la mayoría clasifica la obra como cervantina; sin embargo, es recomendable ampliar el corpus utilizado para el estudio e incluir más autores para la comparación.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[In this paper, some classification methods are applied to a set of texts with the aim of studying the probability that the book Novela de la tía fingida has been written by Miguel de Cervantes. This novel has been historically attributed to him but there are some encountered positions about this. The methods used in this paper range from: logistic regression, additive logistic regression, linear, quadratic, regularized, mixture and flexible discriminant analysis, classification tree, k-nearest neighbour, Naive Bayes method and support vector machines. Methods were trained and applied using a corpus of authors contemporary to Cervantes as Lope de Vega, Jerónimo de Pasamonte, Alonso Fernández de Avellaneda, Mateo Alemán, and Francisco de Quevedo and more than forty variables, mainly words and punctuation marks, measured over written texts by these authors. Respect to these methods, most of them classify the novel as another Cervantes work; however, is our recommendation to include more texts from these authors and more authors.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[análisis discriminante]]></kwd>
<kwd lng="es"><![CDATA[árboles de clasificación]]></kwd>
<kwd lng="es"><![CDATA[máquinas de aprendizaje]]></kwd>
<kwd lng="es"><![CDATA[regla de Bayes]]></kwd>
<kwd lng="es"><![CDATA[regresión logística]]></kwd>
<kwd lng="es"><![CDATA[validación cruzada]]></kwd>
<kwd lng="en"><![CDATA[Bayes rule]]></kwd>
<kwd lng="en"><![CDATA[Classification tree]]></kwd>
<kwd lng="en"><![CDATA[Cross validation]]></kwd>
<kwd lng="en"><![CDATA[Discriminant analysis]]></kwd>
<kwd lng="en"><![CDATA[Logistic regression]]></kwd>
<kwd lng="en"><![CDATA[Machine learning]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ 
<font size="2" face="verdana">

    <p>
<b>
<font size="4">
    <center>
Donde se muestran algunos resultados de atribuci&oacute;n de autor en torno a la obra cervantina
</center>
</font>
</b>
</p>

    <p>
<b>
<font size="3">
    <center>
Wherein are Shown some Results of Autorship Attribution to Cervantes&#39; Work
</center>
</font>
</b>
</p>

    <p>
    <center>
FREDDY L&Oacute;PEZ<sup>1</sup>
</center>
</p>

    <p>
<sup>1</sup>Instituto Venezolano de Investigaciones Cient&iacute;ficas, Departamento de Matem&aacute;ticas, Estado Miranda, Venezuela. Estudiante de postgrado. Email: <a href="mailto:freddy.vate01@gmail.com">freddy.vate01@gmail.com</a>
    <br>
</p>

<hr size="1">

    <p>
<b>
    ]]></body>
<body><![CDATA[<center>
Resumen
</center>
</b>
</p>

    <p>
En este art&iacute;culo se aplican algunos m&eacute;todos de clasificaci&oacute;n a un conjunto de textos con el objetivo de estudiar la probabilidad que el libro <i>Novela de la t&iacute;a fingida</i> haya sido escrita por Miguel de Cervantes. Esta novela se le ha atribuido hist&oacute;ricamente, pero existen algunas posiciones encontradas al respecto. Los m&eacute;todos usados en este art&iacute;culo contemplan: regresi&oacute;n log&iacute;stica, regresi&oacute;n log&iacute;stica aditiva, an&aacute;lisis discriminante lineal, cuadr&aacute;tico, regularizado, de mezclas y flexible, &aacute;rboles de clasificaci&oacute;n, m&eacute;todo de los k-&eacute;simos vecinos m&aacute;s cercanos, m&eacute;todo de Bayes ingenuo y m&aacute;quinas de soporte vectorial.     <br>

Los m&eacute;todos fueron calibrados y aplicados utilizando un corpus de autores contempor&aacute;neos a Cervantes (Lope de Vega, Jer&oacute;nimo de Pasamonte, Alonso Fern&aacute;ndez de Avellaneda, Mateo Alem&aacute;n y Francisco de Quevedo) junto con m&aacute;s de cuarenta variables, principalmente palabras y signos de puntuaci&oacute;n, medidas sobre muestras de los textos escritos por estos autores.     <br>

Con respecto a estos m&eacute;todos, la mayor&iacute;a clasifica la obra como cervantina; sin embargo, es recomendable ampliar el corpus utilizado para el estudio e incluir m&aacute;s autores para la comparaci&oacute;n.
</p>

    <p>
<b>
Palabras clave:
</b>
an&aacute;lisis discriminante,
&aacute;rboles de clasificaci&oacute;n,
m&aacute;quinas de aprendizaje,
regla de Bayes,
regresi&oacute;n log&iacute;stica,
validaci&oacute;n cruzada.
</p>

<hr size="1">

    <p>
<b>
    <center>
Abstract
</center>
</b>
</p>

    <p>
In this paper, some classification methods are applied to a set of texts with the aim of studying the probability that the book <i>Novela de la t&iacute;a fingida</i> has been written by Miguel de Cervantes. This novel has been historically attributed to him but there are some encountered positions about this. The methods used in this paper range from: logistic regression, additive logistic regression, linear, quadratic, regularized, mixture and flexible discriminant analysis, classification tree, k-nearest neighbour, Naive Bayes method and support vector machines.     <br>

Methods were trained and applied using a corpus of authors contemporary to Cervantes as Lope de Vega, Jer&oacute;nimo de Pasamonte, Alonso Fern&aacute;ndez de Avellaneda, Mateo Alem&aacute;n, and Francisco de Quevedo and more than forty variables, mainly words and punctuation marks, measured over written texts by these authors.     <br>

Respect to these methods, most of them classify the novel as another Cervantes work; however, is our recommendation to include more texts from these authors and more authors.
</p>

    ]]></body>
<body><![CDATA[<p>
<b>
Key words:
</b>
Bayes rule,
Classification tree,
Cross validation,
Discriminant analysis,
Logistic regression,
Machine learning.
</p>

<hr size="1">

    <p>
Texto completo disponible en <a href="pdf/rce/v34n1/v34n1a02.pdf">PDF</a>
</p>

<hr size="1">

    <p>
<b>
<font size="3">
Referencias
</font>
</b>
</p>


    <!-- ref --><p>
1. Aylward, E. T. (1982), <i>Cervantes: Pioneer and Plagiarist</i>, Tamesis Books Limited, Londres, UK.
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000026&pid=S0120-1751201100010000200001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>
2. Baum, L. F. (2001), <i>The Royal Book of Oz</i>, Dover Publications, New York, States United. Escrito con colaboraci\&#39;on&#39; de R. Thompson.
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000027&pid=S0120-1751201100010000200002&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>
3. Binongo, J. (2003), `Who Wrote the 15th Book of Oz? An Application of Multivariate Analysis to Authorship Attribution´, <i>Chance</i> <b>16</b>(2), 9-17.
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000028&pid=S0120-1751201100010000200003&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>
4. Bird, S., Klein, E. & Loper, E. (2009), <i>Natural Language Processing with Python</i>, O&#39;Really, Sebastopol, States United.
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000029&pid=S0120-1751201100010000200004&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>
5. Dempster, A. P., Laird, N. M. & Rubin, D. B. (1977), `Maximum likelihood from incomplete data via the EM algorithm´, <i>Pattern Recognition</i> <b>39</b>, 1-38.
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000030&pid=S0120-1751201100010000200005&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>
6. Gardner, M. (1998), <i>Visitors from Oz: The Wild Adventures of Dorothy, the Scarecrow, and the Tin Woodman</i>, St Martins Press, New York, States United.
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000031&pid=S0120-1751201100010000200006&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>
7. Grieve, J. (2007), `Quantitative Authorship Attribution: an Evaluation of Techniques´, <i>Literacy and Linguistic Computing</i> <b>22</b>(3), 251-270.
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000032&pid=S0120-1751201100010000200007&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>
8. Hastie, T., Tibshirani, R. & Friedman, J. (2009), <i>The Elements of Statistical Learning: Data Mining, Inference, and Prediction</i>, 2 edn, Springer, New York, States United.
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000033&pid=S0120-1751201100010000200008&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>
9. Hoover, D. L. (2002), `Multivariate Analysis and Study of Style Variation´, <i>Literacy and Linguistic Computing</i> <b>18</b>(4), 341-360.
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000034&pid=S0120-1751201100010000200009&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>
10. Hosmer, D. & Lemeshow, S. (2000), <i>Applied Logistic Regression</i>, 2 edn, Wiley, New York, States United.
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000035&pid=S0120-1751201100010000200010&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>
11. Jockers, M., Witten, D. & Criddle, C. (2008), `Reassessing authorship of the Book of Mormon using delta and nearest shrunken centroid classification´, <i>Literacy and Linguistic Computing</i> <b>23</b>(4), 465-491.
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000036&pid=S0120-1751201100010000200011&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>
12. Johnson, R. & Wichern, D. (1998), <i>Applied Multivariate Statistical Analysis</i>, Fourth edn, Prentice Hall, New York, States United.
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000037&pid=S0120-1751201100010000200012&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>
13. Jolliffe, I. T. (2002), <i>Principal Component Analysis</i>, 2 edn, Springer, New York, States United.
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000038&pid=S0120-1751201100010000200013&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>
14. Joula, P. (2006), `Authorship Attribution´, <i>Foundations and Trends in Information Retrieval</i> <b>1</b>(3), 233-334.
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000039&pid=S0120-1751201100010000200014&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>
15. Koppel, M., Schler, J. & Argamon, S. (2009), `Computational methods in authorship attribution´, <i>Journal of the American Society for Information Science and Technology</i> <b>60</b>(1), 9-26.
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000040&pid=S0120-1751201100010000200015&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>
16. Lebart, L., Morineau, A. & Warwick, K. (1984), <i>Multivariate Descriptive Statistical Analysis</i>, John Wiley & Sons, New York, States United.
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000041&pid=S0120-1751201100010000200016&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>
17. Madrigal, J. L. (2003), `De c\&#39;omo y por qu\&#39;e La t\&#39;\ia fingida es de Cervantes´, <i>Artifara</i>(2).
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000042&pid=S0120-1751201100010000200017&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>
18. Rencher, A. (2002), <i>Methods of Multivariate Analysis</i>, Second edn, Wiley, New York, States United.
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000043&pid=S0120-1751201100010000200018&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>
19. Ripley, B. D. (1996), <i>Pattern Recognition and Neural Networks</i>, Cambridge University Press, Cambridge, UK.
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000044&pid=S0120-1751201100010000200019&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>
20. Tibshirani, R., Hastie, T., Narashimhan, B. & Chu, G. (2003), `Class prediction by nearest shrunken centroids with applications to DNA microarrays´, <i>Statistical Science</i> <b>18</b>(1), 104-117.
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000045&pid=S0120-1751201100010000200020&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>
21. Venables, W. N. & Ripley, B. D. (2002), <i>Modern Applied Statistics with S</i>, Fourth edn, Springer, New York, States United.
*<a href="http://www.stats.ox.ac.uk/pub/MASS4">http://www.stats.ox.ac.uk/pub/MASS4</a>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000046&pid=S0120-1751201100010000200021&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>
22. Witten, I. H. & Frank, E. (2005), <i>Data Mining: Practical Machine Learning Tools and Techniques</i>, 2 edn, Elsevier, San Francisco, States United.
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000047&pid=S0120-1751201100010000200022&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>
23. Yu, B. (2008), `An evaluation of text classification methods for literacy studies´, <i>Literacy and Linguistic Computing</i> <b>23</b>(3), 327-343.
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000048&pid=S0120-1751201100010000200023&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><center>
<b>&#91;Recibido en abril de 2010. Aceptado en enero de 2011&#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{RCEv34n1a02,    <br>
 &nbsp;&nbsp;&nbsp; AUTHOR &nbsp;= {L&oacute;pez, Freddy},    <br>
 &nbsp;&nbsp;&nbsp; TITLE &nbsp; = {{Donde se muestran algunos resultados de atribuci&oacute;n de autor en torno a la obra cervantina}},    ]]></body>
<body><![CDATA[<br>
 &nbsp;&nbsp;&nbsp; JOURNAL = {Revista Colombiana de Estad&iacute;stica},    <br>
&nbsp;&nbsp;&nbsp; YEAR &nbsp;&nbsp; = {2011},    <br>
&nbsp;&nbsp;&nbsp; volume &nbsp;= {34},    <br>
&nbsp;&nbsp;&nbsp; number &nbsp;= {1},    <br>
&nbsp;&nbsp;&nbsp; pages &nbsp; = {15-37}    <br>
}</font></code>

<hr size="1">
</font>
     ]]></body><back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aylward]]></surname>
<given-names><![CDATA[E. T.]]></given-names>
</name>
</person-group>
<source><![CDATA[Cervantes: Pioneer and Plagiarist]]></source>
<year>1982</year>
<publisher-loc><![CDATA[Londres ]]></publisher-loc>
<publisher-name><![CDATA[Tamesis Books Limited]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B2">
<label>2</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Baum]]></surname>
<given-names><![CDATA[L. F.]]></given-names>
</name>
</person-group>
<source><![CDATA[The Royal Book of Oz]]></source>
<year>2001</year>
<publisher-loc><![CDATA[New York ]]></publisher-loc>
<publisher-name><![CDATA[Dover Publications]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B3">
<label>3</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Binongo]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[`Who Wrote the 15th Book of Oz? An Application of Multivariate Analysis to Authorship Attribution´]]></article-title>
<source><![CDATA[Chance]]></source>
<year>2003</year>
<volume>16</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>9-17</page-range></nlm-citation>
</ref>
<ref id="B4">
<label>4</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bird]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Klein]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Loper]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
</person-group>
<source><![CDATA[Natural Language Processing with Python]]></source>
<year>2009</year>
<publisher-loc><![CDATA[Sebastopol ]]></publisher-loc>
<publisher-name><![CDATA[O'Really]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B5">
<label>5</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dempster]]></surname>
<given-names><![CDATA[A. P.]]></given-names>
</name>
<name>
<surname><![CDATA[Laird]]></surname>
<given-names><![CDATA[N. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Rubin]]></surname>
<given-names><![CDATA[D. B.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[`Maximum likelihood from incomplete data via the EM algorithm´]]></article-title>
<source><![CDATA[Pattern Recognition]]></source>
<year>1977</year>
<volume>39</volume>
<page-range>1-38</page-range></nlm-citation>
</ref>
<ref id="B6">
<label>6</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gardner]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<source><![CDATA[Visitors from Oz: The Wild Adventures of Dorothy, the Scarecrow, and the Tin Woodman]]></source>
<year>1998</year>
<publisher-loc><![CDATA[New York ]]></publisher-loc>
<publisher-name><![CDATA[St Martins Press]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B7">
<label>7</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Grieve]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[`Quantitative Authorship Attribution: an Evaluation of Techniques´]]></article-title>
<source><![CDATA[Literacy and Linguistic Computing]]></source>
<year>2007</year>
<volume>22</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>251-270</page-range></nlm-citation>
</ref>
<ref id="B8">
<label>8</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hastie]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Tibshirani]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Friedman]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[The Elements of Statistical Learning: Data Mining, Inference, and Prediction]]></source>
<year>2009</year>
<edition>2</edition>
<publisher-loc><![CDATA[New York ]]></publisher-loc>
<publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B9">
<label>9</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hoover]]></surname>
<given-names><![CDATA[D. L.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[`Multivariate Analysis and Study of Style Variation´]]></article-title>
<source><![CDATA[Literacy and Linguistic Computing]]></source>
<year>2002</year>
<volume>18</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>341-360</page-range></nlm-citation>
</ref>
<ref id="B10">
<label>10</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hosmer]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Lemeshow]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<source><![CDATA[Applied Logistic Regression]]></source>
<year>2000</year>
<edition>2</edition>
<publisher-loc><![CDATA[New York ]]></publisher-loc>
<publisher-name><![CDATA[Wiley]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B11">
<label>11</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jockers]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Witten]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Criddle]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[`Reassessing authorship of the Book of Mormon using delta and nearest shrunken centroid classification´]]></article-title>
<source><![CDATA[Literacy and Linguistic Computing]]></source>
<year>2008</year>
<volume>23</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>465-491</page-range></nlm-citation>
</ref>
<ref id="B12">
<label>12</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Johnson]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Wichern]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<source><![CDATA[Applied Multivariate Statistical Analysis]]></source>
<year>1998</year>
<edition>Fourth</edition>
<publisher-loc><![CDATA[New York ]]></publisher-loc>
<publisher-name><![CDATA[Prentice Hall]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B13">
<label>13</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jolliffe]]></surname>
<given-names><![CDATA[I. T.]]></given-names>
</name>
</person-group>
<source><![CDATA[Principal Component Analysis]]></source>
<year>2002</year>
<edition>2</edition>
<publisher-loc><![CDATA[New York ]]></publisher-loc>
<publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B14">
<label>14</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Joula]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[`Authorship Attribution´]]></article-title>
<source><![CDATA[Foundations and Trends in Information Retrieval]]></source>
<year>2006</year>
<volume>1</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>233-334</page-range></nlm-citation>
</ref>
<ref id="B15">
<label>15</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Koppel]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Schler]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Argamon]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[`Computational methods in authorship attribution´]]></article-title>
<source><![CDATA[Journal of the American Society for Information Science and Technology]]></source>
<year>2009</year>
<volume>60</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>9-26</page-range></nlm-citation>
</ref>
<ref id="B16">
<label>16</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lebart]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Morineau]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Warwick]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
</person-group>
<source><![CDATA[Multivariate Descriptive Statistical Analysis]]></source>
<year>1984</year>
<publisher-loc><![CDATA[New York ]]></publisher-loc>
<publisher-name><![CDATA[John Wiley & Sons]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B17">
<label>17</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Madrigal]]></surname>
<given-names><![CDATA[J. L.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[`De c\&#39;omo y por qu\&#39;e La t\&#39;\ia fingida es de Cervantes´]]></article-title>
<source><![CDATA[Artifara]]></source>
<year>2003</year>
<numero>2</numero>
<issue>2</issue>
</nlm-citation>
</ref>
<ref id="B18">
<label>18</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rencher]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<source><![CDATA[Methods of Multivariate Analysis]]></source>
<year>2002</year>
<edition>Second</edition>
<publisher-loc><![CDATA[New York ]]></publisher-loc>
<publisher-name><![CDATA[Wiley]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B19">
<label>19</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ripley]]></surname>
<given-names><![CDATA[B. D.]]></given-names>
</name>
</person-group>
<source><![CDATA[Pattern Recognition and Neural Networks]]></source>
<year>1996</year>
<publisher-loc><![CDATA[Cambridge ]]></publisher-loc>
<publisher-name><![CDATA[Cambridge University Press]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B20">
<label>20</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tibshirani]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Hastie]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Narashimhan]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Chu]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[`Class prediction by nearest shrunken centroids with applications to DNA microarrays´]]></article-title>
<source><![CDATA[Statistical Science]]></source>
<year>2003</year>
<volume>18</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>104-117</page-range></nlm-citation>
</ref>
<ref id="B21">
<label>21</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Venables]]></surname>
<given-names><![CDATA[W. N.]]></given-names>
</name>
<name>
<surname><![CDATA[Ripley]]></surname>
<given-names><![CDATA[B. D.]]></given-names>
</name>
</person-group>
<source><![CDATA[Modern Applied Statistics with S]]></source>
<year>2002</year>
<edition>Fourth</edition>
<publisher-loc><![CDATA[New York ]]></publisher-loc>
<publisher-name><![CDATA[Springer]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B22">
<label>22</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Witten]]></surname>
<given-names><![CDATA[I. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Frank]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
</person-group>
<source><![CDATA[Data Mining: Practical Machine Learning Tools and Techniques]]></source>
<year>2005</year>
<edition>2</edition>
<publisher-loc><![CDATA[San Francisco ]]></publisher-loc>
<publisher-name><![CDATA[Elsevier]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B23">
<label>23</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yu]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[`An evaluation of text classification methods for literacy studies´]]></article-title>
<source><![CDATA[Literacy and Linguistic Computing]]></source>
<year>2008</year>
<volume>23</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>327-343</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
