日期精度：到日 0 篇 · 到月 5 篇 · 到年 1 篇
F. Y. Edgeworth：概率、统计与经济学著作
Volume 1: probability the law of error. Volume 2. Volume 3: applications of probability and statistical theory to economics and the social sciences applications of probability and statistical theory to physics, chemistry and biology applications of probability and statistical theory to education applications of probability and statistical theory to psychial research.
多项分布拟合优度似然比统计量的矩与分布近似
Approximations were derived for the mean and variance of G 2, the likelihood ratio statistic for testing goodness of fit in a k cell multinomial distribution. These approximate moments, accurate to O(N -3), may be used in fitting the distribution of G 2. Extensive numerical studies of the exact and approximate distributions were performed in the special case of equiprobability. The asymptotic chi-squared distribution was found to fit poorly for k ≥ 4. Satisfactory results…
非参数单因素方差分析中正态得分统计量的分布
The normal scores test for one-way analysis of variance is studied. Exact critical values are given for the three-sample case when the total number of observations is 15 or less. An accurate small-sample approximation to the true distribution is developed by using the method of moments and the beta probability law. This fitting distribution is used in a heuristic evaluation of other fitting schemes. For moderate sample sizes, the asymptotic chi-squared distribution fits…
非参数单因素方差分析中正态得分统计量的分布
The normal scores test for one-way analysis of variance is studied. Exact critical values are given for the three-sample case when the total number of observations is 15 or less. An accurate small-sample approximation to the true distribution is developed by using the method of moments and the beta probability law. This fitting distribution is used in a heuristic evaluation of other fitting schemes. For moderate sample sizes, the asymptotic chi-squared distribution fits…
逆抽样中无偏比例估计的方差界
If p^ is the unbiased estimator of a proportion p obtained by sampling until r successes are obtained (r>2), then var ( p^ )≤ p2q /(r−2).
逆抽样中无偏估计的方差界
If p^ is the unbiased estimator of a proportion p obtained by sampling until r successes are obtained (r>2), then var ( p^ )≤ p2q /(r−2).