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作者:Serfling, R
作者单位:University of Texas System; University of Texas Dallas
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作者:Eppstein, D
作者单位:University of California System; University of California Irvine
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作者:Mizera, I; Müller, CH
作者单位:University of Alberta; Carl von Ossietzky Universitat Oldenburg
摘要:This article introduces a halfspace depth in the location-scale model that is along the lines of the general theory given by Mizera, based on the idea of Rousseeuw and Hubert, and is complemented by a new likelihood-based principle for designing criterial functions. The most tractable version of the proposed depth-the Student depth-turns Out to be nothing but the bivariate halfspace depth interpreted in the Poincare plane model of the Lobachevski geometry. This fact implies many fortuitous the...
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作者:Iyer, HK; Wang, CMJ; Mathew, T
作者单位:Colorado State University System; Colorado State University Fort Collins; National Institute of Standards & Technology (NIST) - USA; University System of Maryland; University of Maryland Baltimore
摘要:We consider the one-way random-effects model with unequal sample sizes and heterogeneous variances. Using the method of generalized confidence intervals. we develop a new confidence interval procedure for the mean. Additionally, we investigate two alternative models based on different sets of assumptions regarding between-group variability and derive generalized confidence interval procedures for the mean. These procedures are applicable to small samples. Statistical simulation is used to demo...
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作者:Tan, ZQ
作者单位:Johns Hopkins University; Johns Hopkins Bloomberg School of Public Health
摘要:The use of estimating equations has been a common approach for constructing Monte Carlo estimators. Recently, Kong et al. proposed a formulation of Monte Carlo integration as a statistical model, making explicit what information is ignored and what is retained about the baseline measure. From simulated data, the baseline measure is estimated by maximum likelihood, and then integrals of interest are estimated by substituting the estimated measure. For two different situations in which independe...