Biometrika

最新文章

• A NEW PROCEDURE FOR SELECTING GOOD POPULATIONS AI翻译
  作者：LAM, K
• ANALYSIS OF VARIABILITY WITH LARGE NUMBERS OF SMALL SAMPLES AI翻译
  作者：COX, DR; SOLOMON, PJ
  作者单位：University of Adelaide
  摘要：Procedures are discussed for the detailed analysis of distributional form, based on many samples of size r, where especially r = 2, 3, 4. The possibility of discriminating between different kinds of departure from the standard normal assumptions is discussed. Both graphical and more formal procedures are developed and illustrated by some data on pulse rates.
• DIAGNOSTIC TESTING OF UNIVARIATE TIME-SERIES MODELS AI翻译
  作者：LJUNG, GM
• TESTS FOR 2 OUTLIERS IN A LINEAR-MODEL AI翻译
  作者：JOSHI, PC; LALITHA, S
  作者单位：Indian Statistical Institute; Indian Statistical Institute Delhi
• AN ASYMPTOTICALLY OPTIMAL SUBCLASS OF BALANCED TREATMENT INCOMPLETE BLOCK-DESIGNS FOR COMPARISONS WITH A CONTROL AI翻译
  作者：SPURRIER, JD; EDWARDS, D
• THE CROSS-PRODUCT ESTIMATOR IN MATCHED CASE-CONTROL STUDIES AI翻译
  作者：SHUSTER, JJ
  摘要：This paper is devoted to a study of the unmatched cross-product estimator of relative risk in a 1:M matched case-control study. It is shown that this estimator is consistent for the ''case-adjusted relative risk'' in rare disease settings. The cross-product estimator has a much wider range of applicability than the classical matched methods, which require a conditionally independent binomial model with a common odds ration. In general, the methods estimate different parameters. However, in the...
• A NOTE ON THE UNCERTAINTY OF A SURVIVAL PROBABILITY ESTIMATED FROM COX REGRESSION-MODEL AI翻译
  作者：ALTMAN, DG; ANDERSEN, PK
  作者单位：University of Copenhagen
  摘要：From a Cox regression model for censored survival data, it is possible to estimate the t-year survival probability for an individual with covariates zO, say. The variance of the estimate, however, depends not only on the value of the estimate but also on the particular covariate pattern zO. The dependence on zO is studied and approximations to the variance are suggested which can be computed much more simply.
• ORDINARY AND PROPER LOCATION M-ESTIMATES FOR AUTOREGRESSIVE-MOVING AVERAGE MODELS AI翻译
  作者：LEE, CH; MARTIN, RD
• APPROXIMATION OF DISCRETE SEQUENTIAL BOUNDARIES AI翻译
  作者：BAUER, P
  摘要：Conservative critical limits for discrete sequential boundaries are derived, when the number of decision times and group sizes are not fixed in advance. The method at any stage of the sequential experiment requires only the joint distribution of the test statistics at the last two inspection times.
• REGRESSION-ANALYSIS BASED ON STRATIFIED SAMPLES AI翻译
  作者：QUESENBERRY, CP; JEWELL, NP
  摘要：Jewell (1985) described an iterative method of estimating parameters in the linear regression model from data collected from stratified samples of the dependent variable with no parametric assumptions on the residual distribution. The present paper considers an alternative iterative technique which is generally superior in terms of efficiency, often by a considerable amount. The method is extended to cover stratified sampling on a design variable which is correlated with the dependent variable...