Title :
A New Method for Goodness-of-Fit Testing Based on Type-II Right Censored Samples
Author :
Lin, Chien-Tai ; Huang, Yen-Lung ; Balakrishnan, N.
Author_Institution :
Dept. of Math., Tamkang Univ., Tamkang
Abstract :
We present a simple method for testing goodness-of-fit based on type-II right censored samples. Applying the property of order statistics due to Malmquist, we can transform any conventional type-II right censored sample of size r out of n from a uniform distribution to a complete sample of size r from a uniform distribution. This result is used to develop the proposed goodness-of-fit test procedure. The simulation studies reveal that the proposed approach provides as good or better overall power than the method of Michael & Schucany.
Keywords :
statistical distributions; goodness-of-fit testing; order statistics; type-II right censored samples; uniform distribution; Empirical distribution function (EDF) statistics; Monte Carlo simulation; goodness-of-fit testing; order statistics; type-II censoring; uniform distribution;
Journal_Title :
Reliability, IEEE Transactions on
DOI :
10.1109/TR.2008.2005860
