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Study on the Extended Doguwa's Estimator of Summary Statistic J

机译:摘要统计量J的扩展Doguwa估计的研究

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摘要

G, F and J are three popular summary statistics in point processes which are often G F J used as test statistics in statistical analyses and inferences. Edge-effects are unavoidable when we estimate summary statistics in point patterns which are realizations of point processes in bounded windows. Three representative estimators of G and F were extended to J by Wu Xiao-kun (2006) where bias, sample variances and envelops were compared. Powers based on estimators of J function were compared in this paper, combining with Wu Xiao-kun (2006), a conclusion can be drawn that the extended Doguwa's estimator of J has some advantages over the other two compared in this paper in the view of simulation. So, the extended work is effective and we can put the extended Doguwa's estimator of J into statistical inference in practice.
机译:G,F和J是点过程中的三个流行的汇总统计量,通常将G F J用作统计分析和推论中的检验统计量。当我们估计点模式中的摘要统计量(边界窗口中点过程的实现)时,边缘效应是不可避免的。吴小坤(2006)将G和F的三个代表性估计量扩展到J,在此比较了偏差,样本方差和包络。结合吴晓坤(2006),比较了基于J函数估计量的幂,得出结论,扩展的Doguwa估计量J相对于本文的其他两个估计量具有一定优势。模拟。因此,扩展的工作是有效的,我们可以在实践中将扩展的Doguwa的J估计量纳入统计推断。

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