Testing goodness-of-fit for some lifetime distributions with conventional Type-I censoring

作者：Pakyari Reza^*; Nia K Resalati

来源：Communications in Statistics - Simulation and Computation, 2017, 46(4): 2998-3009.

DOI：10.1080/03610918.2015.1069347

• Anderson-Darling statistic
• Cramer-von Mises statistic
• Empirical power
• Goodness-of-fit testing
• Monte Carlo simulation
• Order statistics
• Type-I censoring
• Uniform distribution

A goodness-of-fit test procedure is proposed for some lifetime distributions when the available data are subject to Type-I censoring. The proposed method extends the test procedure of Pakyari and Balakrishnan to other lifetime distributions. The extension to Weibull and log-normal models is studied in details. The new test recovers the nominal level of significance and exhibits more power in comparison to the existing tests for several alternative distributions by means of Monte Carlo simulations. Finally, a real dataset is considered for illustrative purposes.

• 出版日期2017