Family of Distributions Derived from Whittaker Function

Maha A. Omair, Yusra A. Tashkandy, Sameh Askar and Abdulhamid A. Alzaid
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Maha A. Omair: Department of Statistics and Operations Research, College of Sciences, King Saud University, Riyadh 145111, Saudi Arabia
Yusra A. Tashkandy: Department of Statistics and Operations Research, College of Sciences, King Saud University, Riyadh 145111, Saudi Arabia
Sameh Askar: Department of Statistics and Operations Research, College of Sciences, King Saud University, Riyadh 145111, Saudi Arabia
Abdulhamid A. Alzaid: Department of Statistics and Operations Research, College of Sciences, King Saud University, Riyadh 145111, Saudi Arabia

Mathematics, 2022, vol. 10, issue 7, 1-23

Abstract: In this paper, we introduce a general family of distributions based on Whittaker function. The properties of obtained distributions, moments, ordering, percentiles, and unimodality are studied. The distributions’ parameters are estimated using methods of moments and maximum likelihood. Furthermore, a generalization of Whittaker distribution that contains a wider class of distributions is developed. Validation of the obtained results is applied to real life data containing four data sets.

Keywords: Whittaker function; confluent hypergeometric series; Whittaker distribution; generalized Whittaker distribution (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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