-
作者：TSAI, WY
摘要：For data subject to random censorship, it is well known that the assumption of independence between censoring time and failure time cannot be tested nonparametrically. For data subject to random truncation, however, it is possible to test independence of truncation time and failure time. A statistic generalizing Kendall''s tau is proposed for testing the independence assumption, and asymptotic properties under the null hypothesis are derived. A conditional permutation test is also derived for ...
-
作者：LEE, SY
摘要：This paper considers the multilevel analysis of structural equation models with unbalanced sampling designs. The analysis is based on the maximum likelihood and the generalized least squares approaches. Basic statistical results for inference such as the asymptotic distribution of the estimators, goodness-of-fit test statistics for the validity of the model and functional constraints are developed. Computationally, the application of the scoring algorithm and the Gauss-Newton algorithm are dis...
-
作者：STENGER, H
摘要：The use of simple random sampling together with ratio estimation is of fundamental importance in survey sampling practice. From a theoretical point of view the ratio estimator has been justified by Bayesian methods (Ericson, 1969) and by superpopulation methods (Royall, 1970). But these methods do not yield a rigorous justification of simple random sampling at the same time. We use the minimax principle in an asymptotic version to justify both simple random sampling and ratio estimation.
-
作者：MULLER, HG; WANG, JL
摘要：As a nonparametric estimator for the point of the most rapid change of a hazard rate we propose the location of an extremum of a nonparametric estimate of the derivative, or equivalently, of a zero of a nonparametric estimate of the second derivative. Using the kernel method for the nonparametric estimation of derivatives of the hazard rate, the asymptotic local limiting distribution and uniform consistency are applied to prove consistency and to find the limiting distribution of these estimat...
-
作者：PANG, CF; THOMPSON, WA; FALLAHI, H
作者单位：Eastman Kodak
-
作者：SCOTT, AJ; WILD, CJ
摘要：Prentice and Pyke (1979) have shown that valid estimators of the odds-ratio parameters in a logistic regression model may be obtained from case-control data by fitting the model as if the data had been obtained in a prospective study. The resulting estimates of standard errors are also valid asymptotically. We extend the Prentice-Pyke result to likelihood ratio tests obtained from fitting a prospective model. These tests are asymptotically exact if the hypothesis involves only the odds-ratio p...
-
作者：TIERNEY, L; KASS, RE; KADANE, JB
作者单位：Carnegie Mellon University
摘要：This paper presents an asymptotic approximation for the marginal density of a nonlinear function g(.theta.) that is applicable when the joint density of .theta. is dominated by a single mode and the Jacobian of g is of full rank near that mode. The approximation is based on Laplace''s method and its asymptotic properties are similar to those of the saddlepoint approximation. The approximation is applied to that computation of a marginal posterior density, a marginal sampling density and a marg...
-
作者：DABROWSKA, DM; DOKSUM, KA; SONG, JK
作者单位：University of California System; University of California Berkeley; Kyungpook National University (KNU)
摘要：We consider graphs, confidence procedures and tests that can be used with censored survival data to compare the hazard experience of a treatment group with that of a control group. In particular, we consider the relative change .DELTA.(t) in a cumulative rate function which is used to define a generalized proportional hazard model. This model is equivalent to the model obtained by introducing a gamma distributed frailty term in the proportional hazard model. We introduce an estimate .cxa..DELT...
-
作者：ROY, R
-
作者：LI, WK; HUI, YV
作者单位：Chinese University of Hong Kong
