The Optimal Linear Combination of Multiple Predictors Under the Generalized Linear Models [0.03%]
广义线性模型下多个预测因子的最优线性组合方法研究
Hua Jin,Ying Lu
Hua Jin
Multiple alternative diagnostic tests for one disease are commonly available to clinicians. It's important to use all the good diagnostic predictors simultaneously to establish a new predictor with higher statistical utility. Under the gene...
Optimal minimax designs over a prespecified interval in a heteroscedastic polynomial model [0.03%]
异方差多项式模型中给定区间上的最优极小极大设计
Ray-Bing Chen,Weng Kee Wong,Kun-Yu Li
Ray-Bing Chen
Minimax optimal designs can be useful for estimating response surface but they are notoriously difficult to study analytically. We provide formulae for three types of minimax optimal designs over a user-specified region. We focus on polynom...
Optimality of the Holm procedure among general step-down multiple testing procedures [0.03%]
Holm方法的最优性研究及其在通用逐步多重检验中的应用
Alexander Y Gordon,Peter Salzman
Alexander Y Gordon
We study the class of general step-down multiple testing procedures, which contains the usually considered procedures determined by a nondecreasing sequence of thresholds (we call them threshold step-down, or TSD, procedures) as a parametri...
Inequalities on the Overshoot beyond a Boundary for Independent Summands with Differing Distributions [0.03%]
关于独立且分布不同的随机变量和超出边界的偏差的不等式
John L Spouge
John L Spouge
Let {S(n) : n >/= 0} (S(0) = 0) denote the successive sums of independent non-negative random variates, of possibly differing distributions. Define: (1) the number N(b) = inf{n >/= 0 : S(n) > b} of sums in the interval [0,b]; and (2) the ov...
A E Brockwell
A E Brockwell
Rosenblatt's transformation has been used extensively for evaluation of model goodness-of-fit, but it only applies to models whose joint distribution is continuous. In this paper we generalize the transformation so that it applies to arbitr...