An adaptive algorithm for estimating inclusion probabilities and performing the Horvitz–Thompson criterion in complex designs-Reference-Cited by-同舟云学术

An adaptive algorithm for estimating inclusion probabilities and performing the Horvitz–Thompson criterion in complex designs

Published:2009-03-28 Issue:4 Volume:24 Page:623-639
ISSN:0943-4062
Container-title:Computational Statistics
language:en
Short-container-title:Comput Stat

Author:

Fattorini Lorenzo

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.1007/s00180-009-0149-9.pdf

Reference15 articles.

1. Aires N (2004) A guide to Fortran programs to calculate inclusion probabilities for conditional Poisson sampling and Pareto πps sampling designs. Comput Stat 19: 337–345

2. Barabesi L, Fattorini L, Ridolfi G (1997) Two-phase surveys of elusive populations. In: Proceedings of the statistics Canada symposium 97: New direction in surveys and censuses. Statistics Canada, Ottawa, pp 285–287

3. Bennet G (1962) Probability inequalities for the sum of independent random variables. J Am Stat Assoc 57: 33–45. doi: 10.2307/2282438

4. Brewer KRW, Hanif M (1983) Sampling with unequal probabilities. Springer, New York

5. Fattorini L (2006) Applying the Horvitz–Thompson criterion in complex designs: a computer- intensive perspective for estimating inclusion probabilities. Biometrika 93: 269–278. doi: 10.1093/biomet/93.2.269

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