Biometrika

最新文章

• AN UNEQUAL PROBABILITY-SAMPLING SCHEME AI翻译
  作者：SAXENA, RR; SINGH, P; SRIVASTAVA, AK
  作者单位：Indian Council of Agricultural Research (ICAR); ICAR - Indian Agricultural Statistics Research Institute
  摘要：A new sampling scheme, with probability of inclusion proportional to size, is proposed for a sample of given size n. It satisfies many requirements of a good sampling scheme under conditions usually met in practice. Empirical exploration of the feasibility of the proposed sampling scheme and of the stability of its variance, shows satisfactory performance.
• ON THE BIAS OF MAXIMUM-LIKELIHOOD-ESTIMATION FOLLOWING A SEQUENTIAL TEST AI翻译
  作者：WHITEHEAD, J
  摘要：The bias of maximum likelihood estimates calculated at the end of a sequential procedure is investigated. For the two sequential designs considered in detail, the sequential probability ratio test and the triangular test, this bias is appreciable. A method of calculating an adjusted estimate with reduced bias is described, and an approximation to the standard error of the new estimate is provided. Examples of the implementation of the method are given, and it''s advantages and disadvantages re...
• LIKELIHOOD METHODS FOR THE DISCRIMINATION PROBLEM AI翻译
  作者：MCLEISH, DL; SMALL, CG
• MULTILEVEL MIXED LINEAR-MODEL ANALYSIS USING ITERATIVE GENERALIZED LEAST-SQUARES AI翻译
  作者：GOLDSTEIN, H
• RECURSIVE NONPARAMETRIC TESTING FOR DOSE-RESPONSE RELATIONSHIPS SUBJECT TO DOWNTURNS AT HIGH-DOSES AI翻译
  作者：SIMPSON, DG; MARGOLIN, BH
  作者单位：National Institutes of Health (NIH) - USA; NIH National Institute of Environmental Health Sciences (NIEHS)
  摘要：A general recursive strategy is introduced to test nonparametrically for an increasing dose-response relationship when a downturn in response at high doses is possible. A specific implementation involving a test of Jonckheere (1954) and Terpstra (1952) is considered, and it''s size and power properties are investigated via Monte Carlo methods. Data from mutation research illustrate the phenomenon of concern.
• ASYMPTOTIC PROPERTIES OF MOMENT ESTIMATORS FOR OVERDISPERSED COUNTS AND PROPORTIONS AI翻译
  作者：MOORE, DF
  摘要：Consistency and asymptotic normality of moment estimates of regression parameters and an overdispersion parameter are shown for data with extra-binomial and extra-Poisson variation. The asymptotic covariance of the regression parameters is found to be unaffected by estimation of the overdispersion parameter. The moment estimates may be obtained using iterated weighted least squares.
• SURVIVAL MODELS FOR HETEROGENEOUS POPULATIONS DERIVED FROM STABLE-DISTRIBUTIONS AI翻译
  作者：HOUGAARD, P
  摘要：A new three-parameter family of distributions on the positive numbers is proposed. It includes the stable distributions on the positive numbers, the gamma, the degenerate and the inverse Gaussian distributions. The family is characterized by the Laplace transform, from which moments, convolutions, infinite divisibility, unimodality and other properties are derived. The density is complicated, but a simple saddlepoint approximation is provided. Weibull and Gompertz distributions are naturally m...
• A MAXIMUM-LIKELIHOOD-ESTIMATION METHOD FOR RANDOM COEFFICIENT REGRESSION-MODELS AI翻译
  作者：MALLET, A
  摘要：A method for estimating the distribution of the parameters of a random coefficient regression model is proposed. This distribution, accounting for interindividual variability, is assumed to lie in a wide class of probability distributions rather than in a given parametric class. Estimation is based on observations from a sample of individuals and likelihood is the estimation criterion. Experimental designs may be different among individuals, allowing the method to apply to routinely collected ...
• A PORTMANTEAU TEST FOR SELF-EXCITING THRESHOLD AUTOREGRESSIVE-TYPE NONLINEARITY IN TIME-SERIES AI翻译
  作者：PETRUCCELLI, JD; DAVIES, N
  作者单位：Nottingham Trent University
• PREDICTION MEAN SQUARED ERROR FOR STATE-SPACE MODELS WITH ESTIMATED PARAMETERS AI翻译
  作者：ANSLEY, CF; KOHN, R