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dc.contributor.authorBanik, Shipra
dc.contributor.authorKibria, B.M Golam
dc.date.accessioned2026-07-08T13:15:14Z
dc.date.available2026-07-08T13:15:14Z
dc.date.issued2012-01
dc.identifier.urihttps://ar.iub.edu.bd/handle/11348/1323
dc.description.abstractWe evaluated several parametric estimators for estimating the difference in means of two populations. Estimators include the ordinary-t, two versions proposed by Welch (1938) and Satterthwaite (1946), three versions proposed by Zhou and Dinh (2005), Johnson and Hall. A simulation study has been made to compare the performance of the selected estimators. Some real-life business examples have been considered to illustrate the application of the methods. Based on our findings, some possible good parametric interval estimators have been proposed for future researchers, applied workers and other professionals.en_US
dc.language.isoenen_US
dc.publisherIndependent University, Bangladeshen_US
dc.subjectAverage Widthen_US
dc.subjectCoverage Probabilityen_US
dc.subjectChi-square Distributionen_US
dc.subjectInterval Estimatoren_US
dc.subjectSimulation Studyen_US
dc.subjectSkewed Populationen_US
dc.titleOn some parametric confidence intervals for the mean difference of two populationsen_US
dc.typeArticleen_US


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