Kolmogorov–Smirnov test for life test data with hybrid censoring

Buddhananda Banerjee and Biswabrata Pradhan

Communications in Statistics - Theory and Methods, 2018, vol. 47, issue 11, 2590-2604

Abstract: This work considers goodness-of-fit for the life test data with hybrid censoring. An alternative representation of the Kolmogorov–Smirnov (KS) statistics is provided under Type-I censoring. The alternative representation leads us to approximate the limiting distributions of the KS statistic as a functional of the Brownian bridge for Type-II, Type-I hybrid, and Type-II hybrid censored data. The approximated distributions are used to obtain the critical values of the tests in this context. We found that the proposed KS test procedure for Type-II censoring has more power than the available one(s) in literature.

Date: 2018
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DOI: 10.1080/03610926.2016.1205616

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