On compounded geometric distributions and their applications

被引:6
|
作者
Chowdhury, Shovan [1 ]
Mukherjee, Amitava [2 ]
Nanda, Asok K. [3 ]
机构
[1] Indian Inst Management Kozhikode, Dept Quantitat Methods & Operat Management, Kozhikode, Kerala, India
[2] XLRI Xavier Sch Management, Prod Operat & Decis Sci Area, Jamshedpur, Bihar, India
[3] IISER Kolkata, Dept Math & Stat, Kolkata, W Bengal, India
关键词
Compounding; Hazard rate function; Markov chain Monte Carlo; Maximum likelihood estimation; Method of minimum distance; Zero-truncated Poisson distribution; DISCRETE FAILURE; MINIMUM DISTANCE; STOCHASTIC COMPARISONS; TIME DISTRIBUTIONS; HAZARD FUNCTIONS; MODELS; DURATION; MAXIMA;
D O I
10.1080/03610918.2015.1011331
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
Here, we introduce two-parameter compounded geometric distributions with monotone failure rates. These distributions are derived by compounding geometric distribution and zero-truncated Poisson distribution. Some statistical and reliability properties of the distributions are investigated. Parameters of the proposed distributions are estimated by the maximum likelihood method as well as through the minimum distance method of estimation. Performance of the estimates by both the methods of estimation is compared based on Monte Carlo simulations. An illustration with Air Crash casualties demonstrates that the distributions can be considered as a suitable model under several real situations.
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页码:1715 / 1734
页数:20
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