Biometrika

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.
• A NOTE ON SEMI-MARKOV MODELS FOR PARTIALLY CENSORED-DATA AI翻译
  作者：DINSE, GE; LARSON, MG
  作者单位：Harvard University; Harvard T.H. Chan School of Public Health
  摘要：A recharacterization of the semi-Markov model described by Lagakos, Sommer and Zelen (1978) permits the nonparametric maximum likelihood estimators to be expressed in terms of familiar and easily computable quantities, such as event-specific hazard estimators and Kaplan and Meier (1958) survival estimators. In addition to simplifying the calculation and clarifying the interpretation of the previously derived estimators, this reformulation also facilitates the estimation of covariance terms and...
• SCORE TEST FOR THE 1ST-ORDER AUTOREGRESSIVE MODEL WITH HETEROSCEDASTICITY AI翻译
  作者：TSAI, CL
• 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
• OPTIMALLY BOUNDED SCORE FUNCTIONS FOR GENERALIZED LINEAR-MODELS WITH APPLICATIONS TO LOGISTIC-REGRESSION AI翻译
  作者：STEFANSKI, LA; CARROLL, RJ; RUPPERT, D
  作者单位：University of North Carolina; University of North Carolina Chapel Hill
• RANDOMIZATION IN THE ANALYSIS OF COVARIANCE AI翻译
  作者：BELLHOUSE, DR
• A CLASS OF MULTIVARIATE FAILURE TIME DISTRIBUTIONS AI翻译
  作者：HOUGAARD, P
  摘要：A class of continuous multivariate lifetime distributions is proposed. The dependence between individuals in a group is modelled by a group specific quantity, which can be interpreted as an unobserved covariate common to the individuals in the group and assumed to follow a positive stable distribution. It is possible to include covariates in the model and discuss whether the dependence is still present after specific covariates are taken into account. If the conditional hazards are proportiona...
• THE F-TEST FOR MODEL DISCRIMINATION WITH EXPONENTIAL FUNCTIONS AI翻译
  作者：BARDSLEY, WG; MCGINLAY, PB; WRIGHT, AJ
  摘要：The performance of the F test in identifying the correct number of components in exponential functions is investigated by mathematical and computational techniques. Uncoupled systems can be most easily identified when the relaxation times are widely separated but the exponential functions encountered in pharmacokinetics and biochemistry are linked in that the amplitudes and eigenvalues are not independent. In such systems correct model discrimination occurs as the relaxation times become close...
• RESIDUAL VARIANCE AND RESIDUAL PATTERN IN NONLINEAR-REGRESSION AI翻译
  作者：GASSER, T; SROKA, L; JENNENSTEINMETZ, C
  作者单位：Ruprecht Karls University Heidelberg
  摘要：A nonparametric estimator of residual variance in nonlinear regression is proposed. It is based on local linear fitting. Asymptotically the estimator has a small bias, but a larger variance compared with the parametric estimator in linear regression. Finite sample properties are investigated in a simulation study, including a comparison with other nonparametric estimators. The method is also useful for spotting heteroscedasticity and outliers in the residual at an early stage of the data analy...
• ON THE GENERALIZED NONCENTRAL CHI-SQUARED DISTRIBUTION INDUCED BY AN ELLIPTIC-GAMMA LAW AI翻译
  作者：KOUTRAS, M