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.
给出了正态总体均值和标准差的最大似然估计(M LE),似然比检验统计量及其渐近分布等结果。
The maximum likelihood estimators(MLE) of means and standard deviations, and the asymptotic distribution of likelihood ratio statistic were given.
最新的文献表明这个提出的修正似然比检验统计量在零假设下的渐近分布是比较简单,并且是容易应用的。
It is shown that the asymptotic null distribution of the modified likelihood ratio test proposed is derived and found to be relatively simple and easily applied.
本文给出了制定定时截尾寿命试验下指数分布产品失效率的抽样检验方案的一个新方法,检验统计量是总试验时间。
A sampling inspection plan for the failure rate of GBVE distribution with the test statistic of total experimental time based on Type I censoring is presented.
本文提出从HNBUE分布类中检验指数分布的方法,证明检验统计量的渐近正态性和检验的相合性。
This paper proposes a test statistics for testing exponential distribution versus HNBUE, and proves the statistics approximate normal distribution and consistence.
以总试验时间为检验统计量,在定时截尾寿命试验下研究GBVE分布产品失效率的抽样检验方案,随机模拟结果显示此方法有效。
A sampling inspection plan for the failure rate of GBVE distribution with the test statistic of total experimental time based on Type I censoring is presented.
本文给出了制定定时截尾寿命试验下指数分布产品失效率的抽样检验方案的一个新方法,检验统计量是总试验时间。
This paper gives a new statistical method of working out a sampling inspection plan for the failure rate of exponential populations.
证明估计的强相合性和渐近正态性,给出似然比检验统计量的极限分布,并讨论基于精确分布的检验问题。
The limit distributions of estimators and likelihood ratio test are given, the strong consistency of estimators is also proved.
在平均值为零或平均值为已知的季节时间序列模型中,根据加权对称估计量提出季节单位根的检验统计量,并求出此统计量的极限分布的表达式。
In this article, we propose seasonal unit root test statistics based on the Weighted Symmetric estimator and derive representation for limiting distributions of the statistics.
在平均值为零或平均值为已知的季节时间序列模型中,根据加权对称估计量提出季节单位根的检验统计量,并求出此统计量的极限分布的表达式。
In this article, we propose seasonal unit root test statistics based on the Weighted Symmetric estimator and derive representation for limiting distributions of the statistics.
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