Characterizations of Some Probability Distributions with Completely Monotonic Density Functions
For a non-negative continuous random variable , Chaudhry and Zubair (2002, p. 19) introduced a probability distribution with a completely monotonic probability density function based on the generalized gamma function, and called it the Macdonald probability function. In this paper, we establish vari...
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| Published in: | Pakistan journal of statistics and operation research Vol. 17; no. 1; pp. 51 - 64 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Lahore
University of the Punjab, College of Statistical & Actuarial Science
02.03.2021
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| Subjects: | |
| ISSN: | 1816-2711, 2220-5810 |
| Online Access: | Get full text |
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| Summary: | For a non-negative continuous random variable , Chaudhry and Zubair (2002, p. 19) introduced a probability distribution with a completely monotonic probability density function based on the generalized gamma function, and called it the Macdonald probability function. In this paper, we establish various basic distributional properties of Chaudhry and Zubair’s Macdonald probability distribution. Since the percentage points of a given distribution are important for any statistical applications, we have also computed the percentage points for different values of the parameter involved. Based on these properties, we establish some new characterization results of Chaudhry and Zubair’s Macdonald probability distribution by the left and right truncated moments, order statistics and record values. Characterizations of certain other continuous probability distributions with completely monotonic probability density functions such as Mckay, Pareto and exponential distributions are also discussed by the proposed characterization techniques. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 1816-2711 2220-5810 |
| DOI: | 10.18187/pjsor.v17i1.3491 |