Gupta, Arjun K.Harrar, Solomon W.Pardo Llorente, Leandro2023-06-202023-06-2020071618-251010.1007/s10260-007-0055-7https://hdl.handle.net/20.500.14352/50271This 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.engOn testing homogeneity of variances for nonnormal models using entropyjournal articlehttp://www.springerlink.com/content/09q57307571j3513/fulltext.pdfhttp://www.springerlink.comrestricted access519.2sample variancecumulantsedgeworth expansioncharacteristic functionchi-square distibutionentropybartletts testasymptotic-expansionnull distributioncritical-valuessample entropydiversityEstadística matemática (Matemáticas)1209 Estadística