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作者:Tang, BX
作者单位:Simon Fraser University
摘要:Regular fractional factorial designs with clear two-factor interactions provide a useful class of designs that are robust to nonnegligible two-factor interactions. In this paper, the concept of clear two-factor interactions is generalised to orthogonal arrays. The new concept leads to a much wider class of designs robust to nonnegligible two-factor interactions. We study the existence and construction of such designs. The designs we construct have a structure that render themselves particularl...
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作者:Pfeffermann, Danny; Da Silva Moura, Fernando Antonio; Do Nascimento Silva, Pedro Luis
作者单位:Hebrew University of Jerusalem; Universidade Federal do Rio de Janeiro; Escola Nacional de Ciencias Estatisticas (ENCE)
摘要:We consider a model-dependent approach for multi-level modelling that accounts for informative probability sampling of first- and lower-level population units. The proposed approach consists of first extracting the hierarchical model holding for the sample data given the selected sample, as a function of the corresponding population model and the first- and lower-level sample selection probabilities, and then fitting the resulting sample model using Bayesian methods. An important implication o...
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作者:Delicado, Pedro
作者单位:Universitat Politecnica de Catalunya
摘要:Two existing density estimators based on local likelihood have properties that are comparable to those of local likelihood regression but they are much less used than their counterparts in regression. We consider truncation as a natural way of localising parametric density estimation. Based on this idea, a third local likelihood density estimator is introduced. Our main result establishes that the three estimators coincide when a free multiplicative constant is used as an extra local parameter.
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作者:Bortnick, SM; Dean, AM; Santner, TJ
作者单位:University System of Ohio; Ohio State University
摘要:The problem of providing lower confidence bounds for the mean improvements of p >= 2 test treatments over a control treatment is considered. The expected average and expected maximum allowances are two criteria for comparing different systems of confidence intervals or bounds. In this paper, lower bounds are derived for the expected average allowance and the expected maximum allowance of Dunnett's simultaneous lower confidence bounds for the p mean improvements. These lower bounds hold for any...