2期

最新文章

• 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
• 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
• 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...
• ON THE GENERALIZED NONCENTRAL CHI-SQUARED DISTRIBUTION INDUCED BY AN ELLIPTIC-GAMMA LAW AI翻译
  作者：KOUTRAS, M
• LIKELIHOOD METHODS FOR THE DISCRIMINATION PROBLEM AI翻译
  作者：MCLEISH, DL; SMALL, CG
• 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...
• PREDICTION MEAN SQUARED ERROR FOR STATE-SPACE MODELS WITH ESTIMATED PARAMETERS AI翻译
  作者：ANSLEY, CF; KOHN, R
• ON THE DESIGN OF EXPERIMENTS UNDER SPATIAL CORRELATION AI翻译
  作者：MARTIN, RJ
• ESTIMATING THE TUMOR ONSET DISTRIBUTION IN ANIMAL CARCINOGENESIS EXPERIMENTS AI翻译
  作者：PORTIER, CJ
  摘要：In most survival-sacrifice experiments for the detection and quantification of risks from chronic exposure to chemical agents, the onset of the condition of interest is not clinically observable. Cancer is typically such an event. In this paper, an approximate maximum likelihood method is proposed for parametric estimation of the distribution of unobservable tumour onset times in the presence of competing risks, when cause-of-death information is unavailable.