<?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>2026-06-29T07:50:35Z</responseDate><request verb="GetRecord" identifier="oai:docta.ucm.es:20.500.14352/50271" metadataPrefix="oai_dc">https://docta.ucm.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:docta.ucm.es:20.500.14352/50271</identifier><datestamp>2023-08-26T01:48:51Z</datestamp><setSpec>com_20.500.14352_14</setSpec><setSpec>col_20.500.14352_15</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>On testing homogeneity of variances for nonnormal models using entropy</dc:title>
   <dc:creator>Gupta, Arjun K.</dc:creator>
   <dc:creator>Harrar, Solomon W.</dc:creator>
   <dc:creator>Pardo Llorente, Leandro</dc:creator>
   <dc:subject>519.2</dc:subject>
   <dc:subject>sample variance</dc:subject>
   <dc:subject>cumulants</dc:subject>
   <dc:subject>edgeworth expansion</dc:subject>
   <dc:subject>characteristic function</dc:subject>
   <dc:subject>chi-square distibution</dc:subject>
   <dc:subject>entropy</dc:subject>
   <dc:subject>bartletts test</dc:subject>
   <dc:subject>asymptotic-expansion</dc:subject>
   <dc:subject>null distribution</dc:subject>
   <dc:subject>critical-values</dc:subject>
   <dc:subject>sample entropy</dc:subject>
   <dc:subject>diversity</dc:subject>
   <dc:subject>Estadística matemática (Matemáticas)</dc:subject>
   <dc:subject>1209 Estadística</dc:subject>
   <dc:description>This paper deals with testing equality of variances of observations in the different treatment groups assuming treatment effects are fixed. We study the distribution of a test statistic which is known to perform comparably well with other statistics for the same purpose under normality. The statistic we consider is based on Shannon's entropy for a distribution function. We will derive the asymptotic expansion for the distribution of the test statistic based on Shannon's entropy under nonnormality and numerically examine its performance in comparison with the modified likelihood ratio criteria for normal and some nonnormal populations.</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>2023-06-20T09:44:09Z</dc:date>
   <dc:date>2023-06-20T09:44:09Z</dc:date>
   <dc:date>2007</dc:date>
   <dc:type>journal article</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14352/50271</dc:identifier>
   <dc:identifier>1618-2510</dc:identifier>
   <dc:identifier>10.1007/s10260-007-0055-7</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:rights>restricted access</dc:rights>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Springer</dc:publisher>
</oai_dc:dc></metadata></record></GetRecord></OAI-PMH>