<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-01T02:21:18Z</responseDate><request verb="GetRecord" identifier="oai:docta.ucm.es:20.500.14352/60597" metadataPrefix="oai_dc">https://docta.ucm.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:docta.ucm.es:20.500.14352/60597</identifier><datestamp>2023-09-07T18:31:29Z</datestamp><setSpec>com_20.500.14352_14</setSpec><setSpec>col_20.500.14352_21</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Informational energy test for equality of variances</dc:title>
   <dc:creator>Pardo Llorente, Julio Ángel</dc:creator>
   <dc:creator>Pardo Llorente, María del Carmen</dc:creator>
   <dc:creator>Vicente, M.L.</dc:creator>
   <dc:creator>Esteban, M.D.</dc:creator>
   <dc:contributor>Bouchon-Meunier, Bernadette</dc:contributor>
   <dc:contributor>Yager, Ronald R.</dc:contributor>
   <dc:contributor>Zadeh, Lotfi A.</dc:contributor>
   <dc:subject>004.8</dc:subject>
   <dc:subject>519.22</dc:subject>
   <dc:subject>Inteligencia artificial (Informática)</dc:subject>
   <dc:subject>Estadística matemática (Matemáticas)</dc:subject>
   <dc:subject>1203.04 Inteligencia Artificial</dc:subject>
   <dc:subject>1209 Estadística</dc:subject>
   <dc:description>5th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Paris, France, July 4-8, 1994. Selected Papers</dc:description>
   <dc:description>On the basis of the informational energy an alternative test of homogeneity of variances in samples from normal populations is developed. In addition, several of the more well known statistics for performing this type of analysis and the new test proposed here are compared in a Monte Carlo study</dc:description>
   <dc:description>Depto. de Estadística e Investigación Operativa</dc:description>
   <dc:description>Fac. de Ciencias Matemáticas</dc:description>
   <dc:description>TRUE</dc:description>
   <dc:description>pub</dc:description>
   <dc:date>2023-06-20T21:03:58Z</dc:date>
   <dc:date>2023-06-20T21:03:58Z</dc:date>
   <dc:date>1995</dc:date>
   <dc:type>book part</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14352/60597</dc:identifier>
   <dc:identifier>XXXX-XXXX</dc:identifier>
   <dc:identifier>10.1007/BFb0035956</dc:identifier>
   <dc:relation>Lectures Notes in Computer Science</dc:relation>
   <dc:rights>metadata only access</dc:rights>
   <dc:publisher>Springer</dc:publisher>
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