Kolmogorov-Smirnov test for life test data with hybrid censoring.

Autor: Banerjee, Buddhananda, Pradhan, Biswabrata
Předmět:
Zdroj: Communications in Statistics: Theory & Methods; 2018, Vol. 47 Issue 11, p2590-2604, 15p
Abstrakt: 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. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index