On Testing Equality of Two Exponential Distributions under Combined Type II Censoring
研究了在组合II型删失方案下检验两个指数分布尺度参数相等的问题，提出了基于失效计数比例和总试验时间的检验统计量，并证明了其渐近正态性和Pitman效率最优性。
Abstract The problem of testing equality of the scale parameters of two exponential distributions is considered under a combined sample type II censoring scheme that has been extensively treated in nonparametric inference. Sufficiency and invariance considerations lead to a pair of statistics, namely, the proportions of failure count and the total time on test of the first sample to those of the combined sample. Exact distribution and moment properties are discussed, and asymptotic joint normality under local alternatives is established in a general framework. An invariant test that maximizes the Pitman efficiency is seen to be based on the difference between these two proportions, and it is asymptotically equivalent to the likelihood ratio test.