SamplingStrata: Optimal stratification of sampling frames for multipurpose sampling surveys. In the field of stratified sampling design, this package offers an approach for the determination of the best stratification of a sampling frame, the one that ensures the minimum sample cost under the condition to satisfy precision constraints in a multivariate and multidomain case. This approach is based on the use of the genetic algorithm: each solution (i.e. a particular partition in strata of the sampling frame) is considered as an individual in a population; the fitness of all individuals is evaluated applying the Bethel-Chromy algorithm to calculate the sampling size satisfying precision constraints on the target estimates. Functions in the package allows to: (a) analyse the obtained results of the optimisation step; (b) assign the new strata labels to the sampling frame; (c) select a sample from the new frame accordingly to the best allocation. Functions for the execution of the genetic algorithm are a modified version of the functions in the ’genalg’ package.
Keywords for this software
References in zbMATH (referenced in 5 articles , 2 standard articles )
Showing results 1 to 5 of 5.
- Jacek Wesołowski, Robert Wieczorkowski, Wojciech Wójciak: Optimality of the recursive Neyman allocation (2021) arXiv
- Marco Ballin, Giulio Barcaroli: R package SamplingStrata: new developments and extension to Spatial Sampling (2020) arXiv
- Dehmer, Matthias (ed.); Shi, Yongtang (ed.); Emmert-Streib, Frank (ed.): Computational network analysis with R. Applications in biology, medicine and chemistry (2017)
- Giulio Barcaroli: SamplingStrata: An R Package for the Optimization of Stratified Sampling (2014) not zbMATH
- Ruiz Espejo, Mariano; Delgado Pineda, Miguel; Nadarajah, Saralees: Optimal unbiased estimation of some population central moments (2013)