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Résumé :
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This book provides a comprehensive review of topics in survey sampling. these topics include different modifications of bayes procedures such as linear bayes, constrained bayes, bayesian robustness under a class of contaminated priors, and their applications in survey sampling. the design-based and model-based strategies for finite population variance, finite population distribution function, inference in survey sampling under measurement error models, and calibration estimation techniques are discussed in detail. the book assumes a knowledge of standard topics in survey sampling at the master's level and a training in mathematical statistics.
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