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截断数据 Lynden–Bell 估计量的强一致收敛
In this paper, we prove that the Lynden-Bell estimator of a distribution function in the random truncation model is uniformly strong consistent over the whole half line, a problem left open by Woodroofe.
截断数据非参数最大似然估计量的若干表示
The nonparametric maximum likelihood estimators of the distribution functions of observations in the truncation model are represented as iid mean processes, with a remainder term of order $o(n^{-1/2})$ a.s.
随机截断数据的影响曲线
Under a random truncation model, observations (X, Y) are lost if X < Y. Properties of the maximum likelihood estimators for the distributions F, G of X and Y and the truncation proportion a have been treated by various authors, for example, Lynden-Bell (1971), and more recently Woodroofe (1985). Asymptotic variances of various estimates, including the mean, the median, the L- and the M-estimates and â, if they can be expressed as functionals of ^ and Ĝ, are obtained through…
随机截断数据的影响曲线
Under a random truncation model, observations (X, Y) are lost if X < Y. Properties of the maximum likelihood estimators for the distributions F, G of X and Y and the truncation proportion a have been treated by various authors, for example, Lynden-Bell (1971), and more recently Woodroofe (1985). Asymptotic variances of various estimates, including the mean, the median, the L- and the M-estimates and â, if they can be expressed as functionals of ^ and Ĝ, are obtained through…
不等样本量下 Bartlett 方差齐性检验统计量的精确分布
An expression is derived for the null density of the Bartlett test statistic for testing equality of variances of n normal populations, when random samples not necessarily of the same size are taken. The expression permits computation of exact Bartlett critical values. As a generalization, an expression is derived for the density of the normalized ratio of an arbitrarily weighted geometric mean to the unweighted arithmetic mean, based on a sample of n independently…