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An Integral Proof of the Joint M.G.F. of Sample Mean and Variance

dc.contributor.authorAnwar H. Joarder
dc.contributor.authorA. Laradji
dc.date.accessioned2026-09-24T09:45:57Z
dc.date.issued2024
dc.description.abstractWithout assuming independence of sample mean and variance, or without using any conditional distribution, we present an integral proof of the joint moment generating function for sample mean and variance for independently, identically and normally distributed random variables. This proves -testt and many other inferential methods. the independence of sample mean and variance which is the basis of Studen
dc.identifier.urihttps://repository.ulab.edu.bd/handle/123456789/1200
dc.language.isoen
dc.publisherInternational Journal of Statistical Sciences
dc.subjectSample mean
dc.subjectsample variance
dc.subjectindependence
dc.subjectmoment generating function
dc.titleAn Integral Proof of the Joint M.G.F. of Sample Mean and Variance
dc.typeArticle

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