Type II Half Logistic Rayleigh Distribution: Properties and Estimation Based on Censored Samples
Muhammad Ahsan Ul Haq, Abdullah M. Almarashi, Amal S. Hassan, M. Elgarhy
Journal of Advances in Mathematics and Computer Science · pp. 1–19 · Published 28 Sep 2018
10.9734/JAMCS/2018/44266Abstract
In this paper, we introduce a new model called the Type II half logistic Rayleigh (TIIHLR) with U-shaped, increasing and decreasing hazard rate function. Some structural properties of the current distribution are derived including; explicit expressions for moments, incomplete moments, order statistics and Rényi entropy. Maximum likelihood estimators of the model parameters, based on complete and censored samples, are obtained. A numerical study is demonstrated to illustrate the theoretical results. The superiority of the new model over some new existing distributions is illustrated through two real data sets. In both applications, the TIIHLR model produces better fits than; the transmuted Rayleigh; transmuted generalised Rayleigh; exponentiated transmuted generalised Rayleigh and transmuted exponentiated inverse Rayleigh distributions.
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