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A new useful three-parameter extension of the exponential distribution
被引:26
|作者:
Lemonte, Artur J.
[1
]
Cordeiro, Gauss M.
[1
]
Moreno-Arenas, German
[2
]
机构:
[1] Univ Fed Pernambuco, Dept Estat, Recife, PE, Brazil
[2] Univ Ind Santander, Escuela Matemat, Bucaramanga, Colombia
来源:
关键词:
censored data;
exponential distribution;
lifetime data;
Marshall-Olkin extended distribution;
maximum likelihood estimation;
MARSHALL;
FAMILY;
BATHTUB;
RELIABILITY;
D O I:
10.1080/02331888.2015.1095190
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:
A three-parameter extension of the exponential distribution is introduced and studied in this paper. The new distribution is quite flexible and can be used effectively in modelling survival data, reliability problems, fatigue life studies and hydrological data. It can have constant, decreasing, increasing, upside-down bathtub (unimodal), bathtub-shaped and decreasing-increasing-decreasing hazard rate functions. We provide a comprehensive account of the mathematical properties of the new distribution and various structural quantities are derived. We discuss maximum likelihood estimation of the model parameters for complete sample and for censored sample. An empirical application of the new model to real data is presented for illustrative purposes. We hope that the new distribution will serve as an alternative model to other models available in the literature for modelling real data in many areas.
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页码:312 / 337
页数:26
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