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最新文章

• ON THE ASYMPTOTIC VARIANCE OF HIGHER-ORDER CROSSINGS WITH SPECIAL REFERENCE TO A FAST WHITE-NOISE TEST AI翻译
  作者：KEDEM, B; REED, G
  摘要：The rate of decrease in the variance of higher order crossings is obtained for stationary m-dependent Gaussian sequences. This result provides a quick approximation to the variance of the number of axis-crossings of m-dependent processes, and is applied in determining approximate probability limits for the higher order crossings of white noise. The limits are used in testing for white noise in stimulated and also real data examples.
• REDUCED RANK-MODELS FOR MULTIPLE TIME-SERIES AI翻译
  作者：VELU, RP; REINSEL, GC; WICHERN, DW
  作者单位：University of Wisconsin System; University of Wisconsin Madison; Texas A&M University System; Texas A&M University College Station
• RANDOMIZATION IN THE ANALYSIS OF COVARIANCE AI翻译
  作者：BELLHOUSE, DR
• A NEW PROCEDURE FOR SELECTING GOOD POPULATIONS AI翻译
  作者：LAM, K
• 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...
• MULTILEVEL MIXED LINEAR-MODEL ANALYSIS USING ITERATIVE GENERALIZED LEAST-SQUARES AI翻译
  作者：GOLDSTEIN, H
• FRACTIONAL TIME-SERIES MODELING AI翻译
  作者：LI, WK; MCLEOD, AI
  作者单位：Western University (University of Western Ontario)
• A CASE-COHORT DESIGN FOR EPIDEMIOLOGIC COHORT STUDIES AND DISEASE PREVENTION TRIALS AI翻译
  作者：PRENTICE, RL
  摘要：Suppose that a cohort of individuals is to be followed in order to relate failure rates to preceding covariate histories. A design is proposed which involves covariate data only for cases experiencing failure and for members of a randomly selected subcohort. Odds ratio and relative risk estimation procedures are presented for such a ''case-cohort'' design. A small simulation study compares case-cohort relative risk estimation procedures to full-cohort and synthetic case-control analyses. Relev...