A genetic algorithm applied to optimal allocation in stratified sampling-Reference-Cited by-同舟云学术

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A genetic algorithm applied to optimal allocation in stratified sampling

Published:2020-02-03 Issue: Volume: Page:1-19
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Brito José¹,Fadel Augusto²,Semaan Gustavo³

Affiliation:

1. CGRAD/ENCE/IBGE, Escola Nacional de Ciências Estatísticas (ENCE/IBGE), Rio de Janeiro, Brazil;

2. GCAD/IBGE, Instituto Brasileiro de Geografia e Estatística (IBGE), Rio de Janeiro, Brazil;

3. PEB/INFES/UFF, Universidade Federal Fluminense – INFES/UFF, Santo Antônio de Pádua, Brazil

Publisher

Informa UK Limited

Subject

Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2020.1722832

Reference36 articles.

1. Compromise allocation in multivariate stratified surveys with stochastic quadratic cost function

2. Compromise Mixed Allocation in Multivariate Stratified Sampling Using Dynamic Programming Technique

3. STOCHASTIC OPTIMIZATION IN MULTIVARIATE STRATIFIED DOUBLE SAMPLING DESIGN

4. SamplingStrata: AnRPackage for the Optimization of Stratified Sampling

5. Nonlinear Programming

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Kernel density estimation by genetic algorithm;Journal of Statistical Computation and Simulation;2022-11-14

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