论文检索

多样本 Kolmogorov–Smirnov 检验统计量的临界值表AI 解读

Let x 1j , x 2j , ···, xnj ; j=1, 2, ···, k be k independent random samples drawn, respectively, from the distributions with cdf's Fj (x). Let F* j (x) denote the empirical distribution function of the jth sample. Conover [3] and Wolf [6] derive the null distribution for the statistic sup x;i < k [F* i (x) – F* i+1(x)]. This article presents tables of exact probabilities for this statistic for k = 3(1)10, and n = 5(1)20. An approximation based on Conover's limiting…

数据编辑中识别错误的概率模型AI 解读

Certain data screening systems incorporate large numbers of logical checks on data entering the system. When violated, these logical checks indicate that various combinations of variates are in error. This article provides a model for assigning a probability measure to identify variates in error when there is a simultaneous violation of a set of logical checks. For certain symmetry conditions, the measure is a reasonable approximation to the posterior probability that given…

数据编辑中识别错误的概率模型AI 解读

Certain data screening systems incorporate large numbers of logical checks on data entering the system. When violated, these logical checks indicate that various combinations of variates are in error. This article provides a model for assigning a probability measure to identify variates in error when there is a simultaneous violation of a set of logical checks. For certain symmetry conditions, the measure is a reasonable approximation to the posterior probability that given…