Second-order asymptotic theory for calibration estimators in sampling and missing-data problems
نویسندگان
چکیده
منابع مشابه
Second-order asymptotic theory for calibration estimators in sampling and missing-data problems
Consider three different but related problems with auxiliary information: infinite population sampling or Monte Carlo with control variates, missing response with explanatory variables, and Poisson and rejective sampling with auxiliary variables. We demonstrate unified regression and likelihood estimators and study their second-order properties. The likelihood estimators are second-order unbias...
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Missing variable models are typical benchmarks for new computational techniques in that the ill-posed nature of missing variable models offer a challenging testing ground for these techniques. This was the case for the EM algorithm and the Gibbs sampler, and this is also true for importance sampling schemes. A population Monte Carlo scheme taking advantage of the latent structure of the problem...
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ژورنال
عنوان ژورنال: Journal of Multivariate Analysis
سال: 2014
ISSN: 0047-259X
DOI: 10.1016/j.jmva.2014.07.003