Fast integer-valued algorithms for optimal allocations under constraints in stratified sampling-Reference-Cited by-同舟云学术

Fast integer-valued algorithms for optimal allocations under constraints in stratified sampling

Published:2015-12 Issue: Volume:92 Page:1-12
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Friedrich Ulf,Münnich Ralf,de Vries Sven,Wagner Matthias

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference39 articles.

1. Mathematical Programming in Statistics;Arthanari,1981

2. Nonlinear integer programming for optimal allocation in stratified sampling;Bretthauer;European J. Oper. Res.,1999

3. Modelling over and undercounts for design-based monte carlo studies in small area estimation: An application to the german register-assisted census;Burgard;Comput. Statist. Data Anal.,2012

4. Burgard, J.P., Münnich, R., Zimmermann, T., 2012. Small area modelling under complex survey designs for business data. In: Proceedings of the Fourth International Conference of Establishment Surveys, June 11–14, 2012, Montréal, Canada.

5. The impact of sampling designs on small area estimates for business data;Burgard;J. Off. Stat.,2014

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