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作者：BERMAN, M
摘要：A theorem of Jacobi (1841), which shows how the ordinary least-squares estimator from a linear regression can be represented as the weighted sum of ''elementary'' estimators of the parameters, is extended to the generalized least-squares estimator. The generalization is applied to a problem in microwave engineering.
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作者：KOTT, PS
摘要：This paper discusses a model-based finite population correction term for estimating the model and design variances of the Horvitz-Thompson estimator under the usual model.
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作者：HALL, P; MARTIN, MA
摘要：We propose a single unifying approach to bootstrap resampling, applicable to a very wide range of statistical problems. It enables attention to be focused sharply on one or more characteristics which are of major importance in any particular problem, such as coverage error or length for confidence intervals, or bias for point estimation. Our approach leads easily and directly to a very general form of bootstrap iteration, unifying and generalizing present disparate accounts of this subject. It...
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作者：ROSNER, GL; TSIATIS, AA
作者单位：Harvard University; Harvard T.H. Chan School of Public Health
摘要：With interest in designing group sequential clinical trials increasing, methodology for analysing the data arising in such trials is needed. We discuss several approaches to constructing confidence intervals for the parameter of interest in a group sequential trial after the trial has ended. We compare these methods to one already in the literature and point out interesting differences.
