On estimators of the mean of infinite dimensional data in finite populations
Author:
Affiliation:
1. Statistics and Mathematics unit, Indian Statistical Institute, Kolkata, India
Publisher
Bernoulli Society for Mathematical Statistics and Probability
Subject
Statistics and Probability
Reference35 articles.
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3. Berger, Y.G. (1998). Rate of convergence to normal distribution for the Horvitz-Thompson estimator. J. Statist. Plann. Inference 67 209–226. 10.1016/S0378-3758(97)00107-9
4. Boistard, H., Lopuhaä, H.P. and Ruiz-Gazen, A. (2017). Functional central limit theorems for single-stage sampling designs. Ann. Statist. 45 1728–1758. 10.1214/16-AOS1507
5. Bondesson, L., Traat, I. and Lundqvist, A. (2006). Pareto sampling versus Sampford and conditional Poisson sampling. Scand. J. Stat. 33 699–720. 10.1111/j.1467-9469.2006.00497.x
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1. On estimators of the mean of infinite dimensional data in finite populations;Bernoulli;2024-02-01
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