Estimation of the finite population distribution function and related statistics, such as the median and interquartile range, is considered. Large-sample properties of estimators constructed from stratified cluster samples, and properties of large-sample confidence intervals, are established. The results are obtained within the context of a sequence of finite populations generated from a superpopulation.
Publié le : 1991-03-14
Classification:
Confidence interval,
finite population,
interquartile range,
quantiles,
stratified sampling,
test inversion,
62D05,
60F05
@article{1176347993,
author = {Francisco, Carol A. and Fuller, Wayne A.},
title = {Quantile Estimation with a Complex Survey Design},
journal = {Ann. Statist.},
volume = {19},
number = {1},
year = {1991},
pages = { 454-469},
language = {en},
url = {http://dml.mathdoc.fr/item/1176347993}
}
Francisco, Carol A.; Fuller, Wayne A. Quantile Estimation with a Complex Survey Design. Ann. Statist., Tome 19 (1991) no. 1, pp. 454-469. http://gdmltest.u-ga.fr/item/1176347993/