Stratification
R package stratification: Univariate Stratification of Survey Populations. Univariate stratification of survey populations with a generalization of the Lavallee-Hidiroglou method of stratum construction. The generalized method takes into account a discrepancy between the stratification variable and the survey variable. The determination of the optimal boundaries also incorporate, if desired, an anticipated non-response, a take-all stratum for large units, a take-none stratum for small units, and a certainty stratum to ensure that some specific units are in the sample. The well known cumulative root frequency rule of Dalenius and Hodges and the geometric rule of Gunning and Horgan are also implemented
Keywords for this software
References in zbMATH (referenced in 8 articles )
Showing results 1 to 8 of 8.
Sorted by year (- 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
- Benedetti, R.; Andreano, M. S.; Piersimoni, F.: Sample selection when a multivariate set of size measures is available (2019)
- Lee, Sang Eun; Shin, Key-Il: The cut-off point based on underlying distribution and cost function (2016)
- Khan, M. G. M.; Reddy, K. G.; Rao, D. K.: Designing stratified sampling in economic and business surveys (2015)
- Giulio Barcaroli: SamplingStrata: An R Package for the Optimization of Stratified Sampling (2014) not zbMATH
- Hasler, Caren; Tillé, Yves: Fast balanced sampling for highly stratified population (2014)
- Ruiz Espejo, Mariano; Delgado Pineda, Miguel; Nadarajah, Saralees: Optimal unbiased estimation of some population central moments (2013)