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Title: Inference for Lomax Distribution Based on Type-II Progressively Hybrid Censored Data
Authors: Ma, Yongming
Shi, Yimin
Keywords: Maximum likelihood estimate
Bayesian inference
Lomax distribution
Importance sample
Lindely Bayes approximation
Type-II progressively hybrid
Issue Date: 26-Dec-2013
Publisher: Vidyasagar University , Midnapore , West-Bengal , India
Series/Report no.: Journal of Physical Science;17
Abstract: The mixture of Type-I and Type-II censoring schemes, called the hybrid censoring scheme is quite common in life-testing or reliability experiments. In this paper, we investigate the estimation of parameters from two-parameter Lomax distribution based on Type-II progressively hybrid censored samples. Maximum likelihood estimates for the distribution parameters and the reliability indices are obtained. Bayesian estimates of the unknown parameters and the reliability indices are obtained under square error loss function by using the important sample method and the Lindely Bayes approximation algorithm respectively. Different methods have been compared using Monte Carlo simulations.
ISSN: 0972-8791
Appears in Collections:Journal of Physical Sciences Vol.17 [2013]

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