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Test for the Exponential Distribution Based on Multiply Type-II Censored Samples

  • Kang, Suk-Bok (Department of Statistics, Yeungnam University) ;
  • Lee, Sang-Ki (Department of Statistics, Yeungnam University)
  • Published : 2006.12.31

Abstract

In this paper, we develope three modified empirical distribution function type tests, the modified Cramer-von Mises test, the modified Anderson-Darling test, and the modified Kolmogorov-Smirnov test for the two-parameter exponential distribution with unknown parameters based on multiply Type-II censored samples. For each test, Monte Carlo techniques are used to generate the critical values. The powers of these tests are also investigated under several alternative distributions.

References

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  2. Goodness-of-fit tests for the inverse Weibull or extreme value distribution based on multiply type-II censored samples vol.25, pp.4, 2014, https://doi.org/10.7465/jkdi.2014.25.4.903