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作者：Bandyopadhyay, U; Biswas, A
作者单位：University of Calcutta; Indian Statistical Institute; Indian Statistical Institute Kolkata
摘要：Adaptive designs are often used in clinical trials to force balance in sequential allocation of patients between two or more competitive treatments. Sometimes, from ethical considerations, the goal may be to allocate a larger number of patients to the better treatment in the course of the trial. In the present paper we consider patients who are heterogeneous with respect to some prognostic factors and assume that the response from each patient is a continuous variable. We consider a normal lin...
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作者：Mukerjee, R; Reid, N
作者单位：Indian Institute of Management (IIM System); Indian Institute of Management Calcutta; University of Toronto
摘要：Conditions are obtained for the approximate frequentist validity of the posterior quantiles of any smooth parametric function. An application to Bayesian tolerance limits is indicated.
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作者：Fisher, NI; Marron, JS
作者单位：Commonwealth Scientific & Industrial Research Organisation (CSIRO); University of North Carolina; University of North Carolina Chapel Hill
摘要：The problem of identifying the number of modal groups manifested in a sample of data is of continuing interest and importance in statistical practice. In this paper, we combine features of two current approaches to the mode-testing problem with some new ideas, to produce a method that provides the data analyst with a powerful and flexible way of exploring modality in univariate data. This approach also provides what appears to be the first satisfactory test of modality for samples of circular ...
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作者：Catchpole, EA; Morgan, BJT
作者单位：Australian Defense Force Academy; University of New South Wales Sydney
摘要：Tools are established for evaluating the deficiency of parameter-redundant models. Examples are provided from the areas of mark-recovery and capture-recapture studies.
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作者：King, R; Brooks, SP
作者单位：University of Bristol; University of Cambridge
摘要：We consider the problem of estimating the total size of a population from a series of incomplete census data. We observe that inference is typically highly sensitive to the choice of model and we demonstrate how Bayesian model averaging techniques easily overcome this problem. We combine and extend the work of Madigan & York (1997) and Dellaportas & Forster (1999) using reversible jump Markov chain Monte Carlo simulation to calculate posterior model probabilities which can then be used to esti...
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作者：DiCiccio, TJ; Monti, AC
作者单位：Cornell University; University of Sannio
摘要：Empirical likelihood possesses many of the important properties of genuine parametric likelihood, but it is computationally burdensome, especially when nuisance parameters are present. This paper presents two approximations to the profile empirical likelihood function for a scalar parameter of interest in the context of M-estimation; the simpler approximation is based on the third derivative of the profile log empirical likelihood function at its maximising point, while the more accurate appro...
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作者：Tang, BX
作者单位：University of Memphis
摘要：Deng & Tang (1999) introduced the generalised resolution and minimum G-aberration criteria for assessing nonregular fractional factorials. In Tang & Deng (1999), a relaxed variant of minimum G-aberration, called minimum G(2)-aberration, is proposed and studied. These criteria are defined using a set of J values, called J-characteristics. In this paper, we show that a factorial design is uniquely determined by its J-characteristics just as a regular factorial design is uniquely determined by it...
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作者：Brix, A; Senoussi, R; Couteron, P; Chadoeuf, J
作者单位：University of Copenhagen; INRAE; INRAE
摘要：We propose an extension of the classical complete spatial randomness tests to nonstationary Poisson spatial processes. The method consists of first performing the classical tests locally and then grouping the local results into a global test. The global test is a test for nonstationary Poisson process assumption, whereas the local tests can be used in an exploratory way to decide whether the observed process is locally regular or clustered or if we do not reject the inhomogeneous Poisson assum...
