Optimum allocation in multivariate stratified random sampling: Stochastic matrix optimisation
Statistics Theory
2011-05-18 v1 Statistics Theory
Abstract
The allocation problem for multivariate stratified random sampling as a problem of stochastic matrix integer mathematical programming is considered. With these aims the asymptotic normality of sample covariance matrices for each strata is established. Some alternative approaches are suggested for its solution. An example is solved by applying the proposed techniques.
Cite
@article{arxiv.1105.3224,
title = {Optimum allocation in multivariate stratified random sampling: Stochastic matrix optimisation},
author = {Jose A. Diaz-Garcia and Rogelio Ramos-Quiroga},
journal= {arXiv preprint arXiv:1105.3224},
year = {2011}
}
Comments
18 pages