利用样本分位数构造检验统计量，给出来自于指数分布总体异常数据的一种检测方法。
A method of detection of outliers from the exponential distribution is given by sample fractile to construct test statistics.
我们证明了在原假设和局部对立假设之下随机加权统计量的条件渐近分布与检验统计量在原假设之下的渐近分布相同。
It is shown that, under both the null and the local alternatives, the random weighting statistics have the same asymptotic distribution as the original test statistic under the null hypotheses.
在原假设下得到检验统计量的极限分布。
Under null hypothesis, the limit distributions of statistics are obtained.
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