An Integral Proof of the Joint M.G.F. of Sample Mean and Variance
| dc.contributor.author | Anwar H. Joarder | |
| dc.contributor.author | A. Laradji | |
| dc.date.accessioned | 2026-09-24T09:45:57Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Without 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.uri | https://repository.ulab.edu.bd/handle/123456789/1200 | |
| dc.language.iso | en | |
| dc.publisher | International Journal of Statistical Sciences | |
| dc.subject | Sample mean | |
| dc.subject | sample variance | |
| dc.subject | independence | |
| dc.subject | moment generating function | |
| dc.title | An Integral Proof of the Joint M.G.F. of Sample Mean and Variance | |
| dc.type | Article |
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