Biometrika

最新文章

• POSTERIOR JOINT AND MARGINAL MODES AI翻译
  作者：OHAGAN, A
  作者单位：University of Dundee
  摘要：Posterior joint modes are often used as point estimators in Bayesian applications to avoid laborious numerical integration of complicated posterior densities. Methods facilitating the straightforward computation of posterior marginal modes in a wide variety of models are presented, and whether marginal modes provide better approximations than joint modes to the posterior means is discussed.
• MAXIMUM LIKELIHOOD ESTIMATION IN LINEAR LEARNING MODELS AI翻译
  作者：PRUSCHA, H
  作者单位：Max Planck Society
  摘要：An extension of the Markov model with only a few additional parameters is the linear learning model, as introduced by Bush et Mosteller. To help its application in biological research an iterative procedure for calculating the maximum likelihood estimates of the unknown parameters is presented. Numerical examples, some of which have already been treated by Bush et Mosteller, are included, as well as comparisons between the linear learning model and the Markov model.
• COMPARING MEANS IN PAIRED CASE WITH MISSING DATA ON ONE RESPONSE AI翻译
  作者：EKBOHM, G
  摘要：Several procedures are suggested for estimating the mean difference from correlated data with missing observations on 1 response. Monte Carlo studies show that a statistic due to Morrison is to be preferred, unless there is a large variance difference.
• LEAST-SQUARES REGRESSION WITH CENSORED DATA AI翻译
  作者：MILLER, RG
  作者单位：Stanford University
  摘要：The analysis for a standard linear regression model is extended to the case of data randomly censored on the right. The slope and intercept estimators are weighted linear combinations of the uncensored observations where the weights are derived from the Kaplan-Meier product-limit estimator of a distribution function. Some distribution theory for the slope estimator is given. For illustration the estimators are applied to the Stanford heart transplant data.
• INFERENCE FOR A 2-DIMENSIONAL STOCHASTIC GROWTH-MODEL AI翻译
  作者：DOWNHAM, DY; GREEN, DH
  作者单位：University of Liverpool
  摘要：In the human body, cells are all the time dividing and reproducing. Williams et Bjerknes suggested a model for the growth of abnormal cells in a plane. Abnormal cells are assumed to divide k times faster than normal cells. In this paper an unbiased minimum variance estimator of k is obtained and the estimates obtained from simulated growths are compared with the actual values. A method of estimating k from the crinkliness of a growth, as suggested by Mollison, is also considered.
• NOTE ON STRAUSSS MODEL FOR CLUSTERING AI翻译
  作者：KELLY, FP; RIPLEY, BD
  作者单位：University of Cambridge
  摘要：It is shown how Strauss''s model for clustering arises naturally from a family of finite point processes with a Markov property and as the equilibrium distributions of certain Markov processes. Examples of spatial birth-and-death processes are given.
• NONPARAMETRIC TESTS FOR BLOCK EXPERIMENTS AI翻译
  作者：DOWNTON, F
  作者单位：University of Birmingham
  摘要：A method is described for constructing nonparametric tests for experiments arranged in blocks when the underlying distributions are of Lehmann''s form. In simple cases the resulting test statistics are those that would be obtained by an analysis of variance following a transformation of the data into exponential scores.
• MULTIVARIATE BINARY DISCRIMINATION BY KERNEL METHOD AI翻译
  作者：AITCHISON, J; AITKEN, CGG
  作者单位：University of Glasgow
  摘要：An extension of the kernel method of density estimation from continuous to multivariate binary spaces is described. Its simple nonparametric nature together with its consistency properties make it an attractive tool in discrimination problems, with some advantages over already proposed parametric counterparts. The method is illustrated by an application to a particular medical diagnostic problem. Simple extensions of the method to categorical data and to data of mixed binary and continuous for...
• GROUP TESTING WITH A DILUTION EFFECT AI翻译
  作者：HWANG, FK
  作者单位：AT&T; Nokia Corporation; Nokia Bell Labs
  摘要：A group testing model with the presence of a dilution effect was studied. Namely, a group containing a few defective items may possibly be misidentified as a group containing no such items, especially when the size of the group is large. When such misidentification happens, a loss is incurred. By assuming that the dilution effect has a special form, which includes the classical Dorfman''s blood test model with no dilution effects as a special case, we calculate the expected cost under the Dorf...
• LINEAR-CIRCULAR CORRELATION-COEFFICIENTS AND RHYTHMOMETRY AI翻译
  作者：MARDIA, KV
  作者单位：University of Leeds
  摘要：Some correlation coefficients when one variable is linear and another is circular are proposed. The relationship between geographic latitude and simian natality is discussed as an example.