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作者：Jones, MC; Hjort, NL; Harris, IR; Basu, A
作者单位：Open University - UK; University of Oslo; Southern Methodist University; Indian Statistical Institute; Indian Statistical Institute Kolkata
摘要：This paper compares the minimum divergence estimator of Basu et al. (1998) to a competing minimum divergence estimator which turns out to be equivalent to a method proposed from a different perspective by Windham (1995). Both methods can be applied for any parametric model and contain maximum likelihood as a special case. Efficiencies are compared under model conditions, and robustness properties are studied. Overall the two methods are found to perform quite similarly. Some relatively small a...
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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：Pfeiffer, RM; Gail, MH; Pee, D
作者单位：National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI); Information Management Services, Inc.
摘要：Family studies to identify disease-related genes often collect families with multiple cases. If environmental exposures or other measured covariates are also important, they should be incorporated into these genetic analyses to control for confounding and increase statistical power. We propose a two-level mixed effects model that allows us to estimate environmental effects while accounting for varying genetic correlations among family members and adjusting for ascertainment by conditioning on ...
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作者：Lieberman, O
作者单位：Technion Israel Institute of Technology
摘要：We apply and extend Firth's (1993) modified score estimator to deal with a class of stationary Gaussian long-memory processes. Our estimator removes the first-order bias of the maximum likelihood estimator. A small simulation study reveals the reduction in the bias is considerable, while it does not inflate the corresponding mean squared error.
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作者：Hall, P
作者单位：Australian National University
摘要：Contributions in Biometrika to nonparametric statistics are surveyed, with particular emphasis on more recent work. It is argued that even in the journal's very early years it had interests in smoothing methods for density estimation, and in techniques for nonparametric regression, in addition to its more obvious focus on 'classical' nonparametric statistics such as ranking methods. Biometrika's early involvement with permutation testing has links to its contemporary work on bootstrap methods....
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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：Oakes, D
作者单位：University of Rochester
摘要：Although papers relating to survival analysis have appeared in Biometrika since the very first issue, the current emphasis on the topic in this journal is fairly new, especially as it relates to applications in biostatistics. This survey traces the development of survival analysis throughout the twentieth century as reflected in the pages of Biometrika, focusing primarily on work published since 1980.
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作者：Liseo, B; Marinucci, D; Petrella, L
作者单位：Sapienza University Rome
摘要：We develop a Bayesian semiparametric procedure for the analysis of stationary long-range dependent time series, We use frequency domain methods to partition the infinite-dimensional parameter space into regions where genuine prior information on the form of the spectral density is available, and others where vague prior beliefs are adopted; the solution to the partition problem, which is equivalent to bandwidth choice from a frequentist point of view, is obtained via Bayes factors. We derive a...
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作者：Naik, PA; Tsai, CL
作者单位：University of California System; University of California Davis
摘要：We derive a new model selection criterion for single-index models, AIC(C), by minimising the expected Kullback-Leibler distance between the true and candidate models. The proposed criterion selects not only relevant variables but also the smoothing parameter for an unknown link function. Thus, it is a general selection criterion that provides a unified approach to model selection across both parametric and nonparametric functions. Monte Carlo studies demonstrate that AICC performs satisfactori...
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作者：Atkinson, AC; Bailey, RA
作者单位：University of London; London School Economics & Political Science; University of London; Queen Mary University London
摘要：The earliest important papers on planned experiments in Biometrika appeared within a year of each other in 1917 and 1918. Roughly speaking, one was concerned with design optimality and industrial experiments, the other with agricultural trials and blocking. We find this approximate division of the subject into two parts helpful in describing its development and growth. As a result of the hostility between Fisher and Karl Pearson, much of the development of designs for agriculture in the 1920s ...
