-
作者：ONEILL, TJ
摘要：An individual [human] suffers from several lethal diseases. The cure time is the additional length of life if one of the diseases is eliminated. Some distribution-free estimators of location parameters for cure time are proposed and their asymptotic properties given.
-
作者：TUAN, PD
摘要：This paper generalizes the work of Godolphin (1977, 1978) for estimating parameters of the moving average model and of the general autoregressive moving average model by solving the approximate log likelihood equation of Waler (1964).
-
作者：ANDERSON, JA
-
作者：BECKER, N
摘要：A procedure is proposed for estimating a parameter of an epidemic model from [measles] household data. The procedure is essentially a method of moments for martingales. It is computationally convenient and is less restrictive in its model assumptions than the maximum likelihood methods previously used. The approach is illustrated and is useful when households contain susceptibles of different types.
-
作者：GILULA, Z
-
作者：GOOD, IJ; LEWIS, BC; GASKINS, RA; HOWELL, LW
摘要：Moran (1951) proposed an approximate formula for the likelihood of the size of an animal population when the removal method is used. An exact formula was obtained for the likelihood based on an assumption of proportional trapping of animals. The formula is ill conditioned and requires extremely high precision arithmetic for its numerical evaluation. A form of minimum chi-squared or weighted least-squares method is given for estimating population size. For this method the calculations are not b...
-
作者：LEE, SY
摘要：In covariance structure analysis, the method of weighted least squares for estimating parameters subject to functional constraints is developed. Statistical properties of the estimator are studied and a goodness-of-fit statistic is presented. Based on the penalty function technique, an algorithm is developed. This algorithm is able to produce the constrained weighted least squares estimator and the constrained maximum likelihood estimator if an appropriate weight matrix is chosen iteratively. ...
-
作者：LI, SH; SIMON, RM; GART, JJ
作者单位：National Institutes of Health (NIH) - USA; NIH National Institute of Dental & Craniofacial Research (NIDCR); National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI)
-
作者：TONG, YL; WETZELL, DE
摘要：When selecting the best normal population with the largest mean, how does the probability function of correct selection behave when the number of observations from a given population increases? Answers to this question under a more general setting were provided. A negative and a positive result are given; their proofs involve an application of Slepian''s inequality.
-
作者：GOOD, IJ
