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Titlebook: Stochastic Models, Statistics and Their Applications; Wrocław, Poland, Feb Ansgar Steland,Ewaryst Rafajłowicz,Krzysztof Szajo Conference pr

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楼主: Arthur
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Visualizing Association Structure in Bivariate Copulas Using New Dependence Functionpendence of two random variables. It allows one to study and visualize explicit dependence structure, both in some theoretical models and empirically, without prior model assumptions. This provides a comprehensive view of association structure and makes possible much detailed inference than based on
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Model Selection Using Cramér–von Mises Distanceelection method by defining the closeness between two distribution functions by the Cramér–von Mises distance. This distance is used mostly in the literature to conduct goodness of fit tests. Given a set of data and two competing classes of parametric distribution functions, we define a test statist
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An Exact Formula for the Average Run Length to False Alarm of the Generalized Shiryaev–Roberts Proceyaev–Roberts (GSR) change-point detection procedure devised to detect a shift in the baseline mean of a sequence of independent exponentially distributed observations. Specifically, the formula is found through direct solution of the respective integral (renewal) equation, and is a general result in
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Adaptive Density Estimation from Data Containing Bounded Measurement Errorsximal measurement error is bounded by some real number converging to zero for sample size tending to infinity. We estimate the density by a standard kernel density estimate applied to the noisy data and propose data-dependent method for choosing its bandwidth. We derive an adaptation result for this
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Poisson Model with Three Binary Predictors: When are Saturated Designs Optimal?psychological testing. To efficiently estimate the parameters of these models locally .-optimal designs will be derived. Eight out of all 70 possible saturated designs are proved to be locally .-optimal in the case of active effects. Two further saturated designs which are the classical fractional f
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Computing D-Optimal Experimental Designs for Estimating Treatment Contrasts Under the Presence of a n with a branch-and-bound method to compute a list of all exact D-optimal designs for estimating a pair of treatment contrasts in the presence of a nuisance time trend up to the size of 24 consecutive trials.
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Variable Inspection Plans for Continuous Populations with Unknown Short Tail Distributionsan be used for arbitrary continuous populations with short tail distributions. The peaks over threshold method is used, the tails are approximated by a generalized Pareto distribution, their parameters and the fraction defective are estimated by a moment method proposed in a similar form by Smith an
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