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作者：RUBIN, DB; THOMAS, N
作者单位：Educational Testing Service (ETS)
摘要：Matched sampling is a standard technique for controlling bias in observational studies due to specific covariates. Since Rosenbaum & Rubin (1983), multivariate matching methods based on estimated propensity scores have been used with increasing frequency in medical, educational, and sociological applications. We obtain analytic expressions for the effect of matching using linear propensity score methods with normal distributions. These expressions cover cases where the propensity score is eith...
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作者：CHIU, ST
摘要：To select a proper bandwidth is a critical step in kernel density estimation. It is well known that the bandwidth selected by cross-validation has a large variability. This difficulty limits the applicability of cross-validation. To reduce the variability, we suggested modifying the sample characteristic function beyond some cut-off frequency in estimating the bias term of the mean integrated squared error. It is proposed to select the cut-off frequency by a generalization of cross-validation....
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作者：LLOYD, CJ
摘要：An estimation method of Lloyd & Yip (1991), based on martingales and the assumption of beta distributed capture probabilities, is modified to improve its performance for all but highly heterogeneous populations. This estimator is compared to the jackknife estimator by simulation under both beta and non-beta conditions. Some expressions for standard error are developed but found to behave poorly for realistic sample sizes. Bootstrap estimates of standard error appear superior but do not lead to...
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作者：GEORGE, EI; ROBERT, CP
作者单位：Sorbonne Universite
摘要：Capture-recapture models are widely used in the estimation of population sizes. Based on data augmentation considerations, we show how Gibbs sampling can be applied to calculate Bayes estimates in this setting. As a result, formulations which were previously avoided because of analytical and numerical intractability can now be easily considered for practical application. We illustrate this potential by using Gibbs sampling to calculate Bayes estimates for a hierarchical capture-recapture model...
