Progressive Type II censored exponential data analysis: the method comparison with a breakdown voltage case study
Progressive Type II censored exponential data analysis: the method comparison with a breakdown voltage case study

Summary/Abstract: This study presents a comparative analysis of different estimation methods for the parameter θ of the exponential distribution under progressive Type II censoring. We compare maximum likelihood estimation with Bayesian approaches using squared error and Kullback- Leibler loss functions under different prior specifications. The theoretical developments presented are well established in the statistical literature; our contribution lies in the systematic empirical comparison of these methods. Through simulation studies and real data application, we examine the finite-sample behavior of these estimators to provide practical guidance for researchers. A real dataset from Lawless (1982) illustrates the application of these methods.

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