Alpha Logarithm Transformed Frechet Distribution: Properties and Estimation

被引:5
作者
Dey, Sanku [1 ]
Nassar, Mazen [2 ]
Kumar, Devendra [3 ]
Alaboud, Fahad [4 ]
机构
[1] St Anthonys Coll, Dept Stat, Shillong, Meghalaya, India
[2] Zagazig Univ, Fac Commerce, Dept Stat, Zagazig, Egypt
[3] Cent Univ Haryana, Dept Stat, Mahendergarh, India
[4] King Abdulaziz Univ, Fac Sci, Dept Stat, Jeddah, Saudi Arabia
关键词
logarithm transformed distribution; hazard rate function; maximum likelihood estimation; asymptotic variance-covariance matrix;
D O I
10.17713/ajs.v48i1.634
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper, a new three-parameter distribution called the Alpha Logarithm Transformed Frechet (ALTF) distribution is introduced which offers a more flexible distribution for modeling lifetime data. Various properties of the proposed distribution, including explicit expressions for the quantiles, moments, incomplete moments, conditional moments, moment generating function Renyi and 6-entropies, stochastic ordering, stress-strength reliability and order statistics are derived. The new distribution can have decreasing, reversed J-shaped and upside-down bathtub failure rate functions depending on its parameter values. The maximum likelihood method is used to estimate the distribution parameters. A simulation study is conducted to evaluate the performance of the maximum likelihood estimates. Finally, the proposed extended model is applied on real data sets and the results are given which illustrate the superior performance of the ALTF distribution compared to some other well-known distributions.
引用
收藏
页码:70 / 93
页数:24
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