Testing for New Better than Used in Expectation with Incomplete Data
针对随机右删失数据，提出一种检验寿命分布是否为指数分布（对立假设为期望意义下新比旧好但非指数）的方法，检验统计量是“总试验时间”统计量的类似物。
This article proposes a test for the problem of testing that a life distribution is an exponential distribution against the alternative that it is new better than used in expectation, not exponential, on the basis of randomly right censored data. The test statistic is an analog of the "total time on test" test statistic.