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作者：DABROWSKI, AR; MCDONALD, D
摘要：Biological cell membranes contain molecular structures known as ion channels. The electrical activity of these channels regulates a number of cellular functions, such as heartbeat and neural transmission. Often the experimenter can only observe the combined current conducted through a cell patch containing an unknown number of ion channels, each channel of equal conductance. The observed current record is a step function with unit up or down steps occurring at random times. Based on such data,...
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作者：BROWN, LD; MARDEN, JI
作者单位：University of Illinois System; University of Illinois Urbana-Champaign
摘要：In this paper we give necessary conditions and sufficient conditions for a test to be locally unbiased, we define local admissibility and we characterize local admissibility in hypothesis testing problems with simple null hypotheses. Applications are presented involving same-sign alternatives, ordered alternatives and independence testing of several variables.
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作者：VARDI, Y; ZHANG, CH
摘要：Consider an incomplete data problem with the following specifications. There are three independent samples (X1,..., X(m)), (Z1,..., Z(n)) and (U1,..., U(n)). The first two samples are drawn from a common lifetime distribution function G, while the third sample is drawn from the uniform distribution over the interval (0, 1). In this paper we derive the large sample properties of G(m,n), the nonparametric maximum likelihood estimate of G based on the observed data X1,..., X(m) and Y1,..., Y(n), ...
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作者：EATON, ML
摘要：Given a parametric model and an improper prior distribution, the formal posterior distribution induces decision rules in any decision problem. The results here provide conditions under which this formal Bayes method produces admissible decision rules for all quadratically regular decision problems. The conditions derived are shown to be equivalent to the recurrence of a natural symmetric Markov chain (on the parameter space) generated by the model and the improper prior. The results are also u...
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作者：GENEST, C
摘要：Vincentization is a convenient method of aggregating a set of n greater-than-or-equal-to 2 probability distributions F1,..., F(n) in such a way that their synthesis, F = T(F1,..., F(n)), be of the same functional form as the F(i)'s when the latter are identical up to a location-scale transformation. A characterization of this combination rule is proposed and some of its consequences are outlined.
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作者：MASON, DM
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作者：SWEETING, TJ
摘要：Simple conditions on the observed information ensure asymptotic normality of the conditional distributions of the randomly normed score statistic and maximum likelihood estimator given a suitable asymptotically ancillary statistic. In particular, asymptotic normality holds conditional on any asymptotically ancillary statistic asymptotically equivalent to observed information. The results apply to inference from a general stochastic process and are of particular relevance in the case of nonergo...
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作者：MENENDEZ, JA; RUEDA, C; SALVADOR, B
摘要：It is well known that anomalies are sometimes observed when using the likelihood ratio test (LRT) for testing restricted hypotheses in a normal model. This paper considers a general framework for these anomalies to occur. We provide a condition, that relates the null and the alternative hypotheses, under which the dominance of the LRT is obtained. Conditions are also given which guarantee the equivalence between the LRT and a simpler test. The situations of known and unknown variances are cons...
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作者：SHAO, J; WU, CFJ
作者单位：University of Waterloo
摘要：Inference, including variance estimation, can be made from stratified samples by selecting a balanced set of subsamples. This balanced subsampling method is generically called the balanced repeated replication method in survey data analysis, which includes McCarthy's balanced half-samples method and its extensions for more general stratified designs. We establish the asymptotic consistency of the balanced repeated replication variance estimators when the parameter of interest is the population...
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作者：BROWN, LD; GREENSHTEIN, E
作者单位：Bar Ilan University
摘要：Let X(i) be i.i.d. X(i) approximately F(theta). For some parametric families {F(theta)}, we describe a monotonicity property of Bayes sequential procedures for the decision problem H0: theta = 0 versus H1: theta not-equal 0. A surprising counterexample is given in the case where F(theta) is N(theta, 1).
