Parameter Estimation Of The Hybrid Censored Lomax Distribution

Parameter Estimation Of The Hybrid Censored Lomax Distribution

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Article ID: iaor20118335
Volume: 7
Issue: 1
Start Page Number: 1
End Page Number: 19
Publication Date: Jan 2011
Journal: Pakistan Journal of Statistics and Operation Research
Authors: , ,
Keywords: estimation, survival analysis, censoring
Abstract:

Survival analysis is used in various fields for analyzing data involving the duration between two events. It is also known as event history analysis, lifetime data analysis, reliability analysis or time to event analysis. One of the difficulties which arise in this area is the presence of censored data. The lifetime of an individual is censored when it cannot be exactly measured but partial information is available. Different circumstances can produce different types of censoring. The two most common censoring schemes used in life testing experiments are Type‐I and Type‐II censoring schemes. Hybrid censoring scheme is mixture of Type‐I and Type‐II censoring scheme. In this paper we consider the estimation of parameters of Lomax distribution based on hybrid censored data. The parameters are estimated by the maximum likelihood and Bayesian methods. The Fisher information matrix has been obtained and it can be used for constructing asymptotic confidence intervals.

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