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Asymptotics in Survey Sampling for High Entropy Sampling Designs

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Advances in Statistical Models for Data Analysis

Abstract

The aim of the paper is to establish asymptotics in sampling finite populations. Asymptotic results are first established for an analogous of the empirical process based on the Hájek estimator of the population distribution function and then extended to Hadamard-differentiable functions. As an application, asymptotic normality of estimated quantiles is provided.

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Correspondence to Pier Luigi Conti .

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Conti, P.L., Marella, D. (2015). Asymptotics in Survey Sampling for High Entropy Sampling Designs. In: Morlini, I., Minerva, T., Vichi, M. (eds) Advances in Statistical Models for Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Cham. https://doi.org/10.1007/978-3-319-17377-1_6

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