Improving the parameter estimation under interval-censored exponential lifetimes

Sajadi, Farkhondeh Alsadat; Poursaeed, Mohammad Hossein

doi:10.22034/jsmta.2021.2707

Improving the parameter estimation under interval-censored exponential lifetimes

Document Type : Original Scientific Paper

Authors

¹ Department of Statistics, Faculty of Mathematics and Statistics, University of Isfahan, Isfahan, Iran

² Department of Statistics, Lorestan University, Khoramabad, Iran

10.22034/jsmta.2021.2707

Abstract

The present study proposes several methods for improving the parameter estimation of interval-censored exponential lifetime data. These methods can be regarded as the versions of substitution method which are based on the most probable time of occurring failures or the meantime of failures in each inspection interval. Based on simulation studies, the methods proposed in this present study can improve the existing estimators which are based on the midpoint of inspection intervals “or” the exponential probability plot.

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Main Subjects