Bivariate Rayleigh-geometric distribution

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Nekoukhou v.; Khalifeh a.; MAHMOUDI E.

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Journal: JOURNAL OF STATISTICAL SCIENCES Year:2020 | Volume:13 | Issue:2 Page(s): 0-0

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Information Journal Paper

Title

Bivariate Rayleigh-geometric distribution

Author(s)

Nekoukhou v. | Khalifeh a. | MAHMOUDI E. | Issue Writer Certificate

Keywords

Rayleigh distributionQ1

Geometric distributionQ1

EstimationQ1

Abstract

In this paper, we study a three-parameter bivariate distribution obtained by taking Geometric minimum of Rayleigh distributions. Some important properties of this bivariate distribution have been investigated. It is observed that the maximum likelihood estimators of the parameters cannot be obtained in closed forms. We propose to use the EM algorithm to compute the maximum likelihood estimates of the parameters, and it is computationally quite tractable. Based on an extensive simulated study, the effectiveness of the proposed algorithm is confirmed. We also analyze one real data set for illustrative purposes. Finally, we conclude the paper.

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APA: Copy

Nekoukhou, v., Khalifeh, a., & MAHMOUDI, E.. (2020). Bivariate Rayleigh-geometric distribution. JOURNAL OF STATISTICAL SCIENCES, 13(2 ), 0-0. SID. https://sid.ir/paper/406436/en

Vancouver: Copy

Nekoukhou v., Khalifeh a., MAHMOUDI E.. Bivariate Rayleigh-geometric distribution. JOURNAL OF STATISTICAL SCIENCES[Internet]. 2020;13(2 ):0-0. Available from: https://sid.ir/paper/406436/en

IEEE: Copy

v. Nekoukhou, a. Khalifeh, and E. MAHMOUDI, “Bivariate Rayleigh-geometric distribution,” JOURNAL OF STATISTICAL SCIENCES, vol. 13, no. 2 , pp. 0–0, 2020, [Online]. Available: https://sid.ir/paper/406436/en

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