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作者：KOKOLAKIS, GE
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作者：SCHOENFELD, D
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作者：BRESLOW, N
作者单位：University of Washington; University of Washington Seattle
摘要：The properties of 4 commonly used estimators of the odds ratio are studied under a large-sample scheme in which the number of 2 .times. 2 tables increases, but the possible marginal configurations remain fixed. Neither the unconditional maximum likelihood nor the empirical logit estimators converge to the true odds ratio; their asymptotic bias is computed for certain special cases of interest. The conditional maximum likelihood and Mantel-Haenszel estimators, which are consistent, have asympto...
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作者：PRENTICE, RL; WILLIAMS, BJ; PETERSON, AV
作者单位：Gonzaga University
摘要：Analysis of regression effects when individual study subjects may experience multiple failures [i.e., time sequence of asthmatic attacks, epileptic seizures, infection episodes, tumor diagnoses, tumor recurrences or bleeding incidents in individual patients] was undertaken. The proposed methods are useful when there are a large number of study subjects. Two general classes of regression models are considered in order to relate the hazard or intensity function to covariates and to preceding fai...
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作者：SHIBATA, R
作者单位：Institute of Science Tokyo; Tokyo Institute of Technology
摘要：An asymptotically optimal selection of regression variables is proposed. The key assumption is that the number of control variables is infinite or increases with the sample size. Mallows'' Cp, Akaike''s FPE and AIC methods are all asymptotically equivalent to this method.
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作者：BINDER, DA
摘要：The amount of computation required for implementing the Bayesian cluster analysis suggested by Binder (1978) is often too large for exact results to be feasible. A general algorithm is proposed for approximating the similarity matrix and the resulting optimal partition. This algorithm is applied to artificial and to real data. For the real data, it appears that the algorithm is successful at identifying the optimal partitions as well as those units whose group membership is doubtful. [Data inc...
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作者：MAK, TK
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作者：SANDLAND, RL; KIRKWOOD, GP
作者单位：Commonwealth Scientific & Industrial Research Organisation (CSIRO)
摘要：A simply parameterized class of models for the estimation of survival probability in a marked population is introduced which allows tests of dependence between sighting probabilities and constancy of survival or sighting probabilities. Estimation and hypothesis testing based on the likelihood function are discussed. By simulation, the asymptotic properties of the test for dependence are shown to hold for modest sample sizes. The degree of bias in estimation of survival probabilities when depen...
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作者：HAGGAN, V; OZAKI, T
作者单位：Research Organization of Information & Systems (ROIS); Institute of Statistical Mathematics (ISM) - Japan
摘要：The behavior of nonlinear deterministic vibrations was studied and may typically include such features as jump phenomena and limit cycles. Nonlinear random vibrations in continuous time were also studied previously; these may commonly give rise to the phenomenon of amplitude-dependent frequency. A discrete time series model is introduced, which may have properties similar to those of nonlinear random vibrations. This model is of autoregressive form with amplitude-dependent coefficients and may...
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作者：MAK, TK; NG, KW
摘要：A linear-model approach is proposed for deriving the maximum likelihood estimates of the mother-sib interclass correlation and other parameters from familial data when the families have unequal numbers of offspring. It leads to an algorithm which involves the maximization of an explicit function of a variable for estimating 1 parameter and direct substitutions for other parameters. The algorighm is simpler and more practical than that proposed by Rosner (1979). Some other advantages of the lin...
