Exact hypothesis testing and confidence interval for mean of the exponential distribution under Type-I progressive hybrid censoring
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Abstract:
Censored samples are discussed in experiments of life-testing; i.e. whenever the experimenter does not observe the failure times of all units placed on a life test. In recent years, inference based on censored sampling is considered, so that about the parameters of various distributions such as normal, exponential, gamma, Rayleigh, Weibull, log normal, inverse Gaussian, logistic, Laplace, and Pareto, has been inferred based on censored sampling. In this paper, a procedure for exact hypothesis testing and obtaining confidence interval for mean of the exponential distribution under Type-I progressive hybrid censoring is proposed. Then, performance of the proposed confidence interval is evaluated using simulation. Finally, the proposed procedures are performed on a data set.
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Journal title
volume 21 issue 1
pages 81- 87
publication date 2016-09
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