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Inference under Progressive Interval Censoring for Geometric Distribution

M. N. Patel, Ketan A. Gajjar

Abstract


In this paper likelihood point and interval estimation are discussed using progressively Type-I interval censored sample under different removal schemes for a geometric life time model. Classical as well as Bayesian inference is carried out using simulation of such a censored sample . Non parametric estimation of survival function along with its confidence interval is also considered. An expression for expected duration of life test is obtained. A numerical example is given to illustrate the theoretical results.

Keywords


Geometric life time model, maximum likelihood estimation, Bayes estimation, bootstrap method, non parametric estimation, survival function, simulation

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