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Estimation of P(X ≤ Y ) for discrete distributions with non-identical support

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Mouli Choudhury M., Bhattacharya R., Maiti S. S.
Statistics in Transition new series
|
2022
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vol. 23
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issue 3
43-64
EN
The Uniformly Minimum Variance Unbiased (UMVU) and the Maximum Likelihood (ML) estimations of R = P(X ≤ Y ) and the associated variance are considered for independent discrete random variables X and Y. Assuming a discrete uniform distribution for X and the distribution of Y as a member of the discrete one parameter exponential family of distributions, theoretical expressions of such quantities are derived. Similar expressions are obtained when X and Y interchange their roles and both variables are from the discrete uniform distribution. A simulation study is carried out to compare the estimators numerically. A real application based on demand-supply system data is provided.
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