Double asymptotics for the chi-square statistic.

Double asymptotics for the chi-square statistic.
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DOI:
10.1016/j.spl.2016.09.004
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发表时间:
2016-12
影响因子:
0.8
通讯作者:
Wesołowski J
Wesołowski J
中科院分区:
数学4区
文献类型:
--
作者:
Rempała GA;Wesołowski J

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考虑当类数mn随样本大小n和n的增加而增加时,Pearson卡方统计量的分布极限。在弱矩条件下,对于λ = ∞,极限为高斯极限,对于有限λ > 0,极限为泊松极限,对于λ = 0,极限为退化极限。
Consider distributional limit of the Pearson chi-square statistic when the number of classes mn increases with the sample size n and . Under mild moment conditions, the limit is Gaussian for λ = ∞, Poisson for finite λ > 0, and degenerate for λ = 0.