The problem addressed is that of sequentially estimating the difference between the means of two populations with respect to the squared error loss, where each population distribution is a member of the one-parameter exponential family. A Bayesian approach is adopted in ...
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Adjustments to previous solutions focusing on only one of the latter objectives are indicated. The sensitivity of the confidence interval for detecting shifts in true mean difference is also investigated Numerical and simulation studies are presented to supplement the theoretical results. 展开 ...
We found two simple formulas that estimate the mean using the values of the median (m), low and high end of the range (aandb, respectively), andn(the sample size). Using simulations, we show that median can be used to estimate mean when the sample size is larger than 25. For smalle...
Although use of the standardized mean difference in meta-analysis is appealing for several reasons, there are some drawbacks. In this article, we focus on the following problem: that a precision-weighted mean of the observed effect sizes results in a biased estimate of the mean standardized mean...
When a conditional distribution has an infinite variance, commonly employed kernel smoothing estimators such as local polynomial esti- mator for the conditional mean have a nonnormal limit, which com- plicates interval estimation since one has to employ different methods for the cases of finite varia...
aA significant difference in the mean test, separation of the relevant factors and estimating their effect on the overall variation , the analysis of the interaction between the factors 在家境调查上的一个重大区别,相关要素和估计他们的作用的分离对整体变异,对因素之间的互作用的分析 [translate] ...
In the second project, we propose semiparametric methods for estimating the mean difference between treatment-free and post-treatment restricted mean lifetime. Treatment-free survival is dependently censored by the receipt of treatment. Landmark analysis, partly conditional hazard regression, and IPCW ...
aIt is mainly used for a significant difference in the mean test, separation of the relevant factors and estimating their effect on the overall variation , the analysis of the interaction between the factors, equality of variances et cetera. By comparing the mainly variance (S2) in two sets of...