Estimators of the Finite Population Distribution Function using Nonparametric Regression

Dorfman, Alan H.; Hall, Peter

Ann. Statist., Tome 21 (1993) no. 1, p. 1452-1475 / Harvested from Project Euclid

Résumé

This paper considers estimators of the distribution function of a variable over a finite population, when a sample of units is available and values of a related auxiliary variable are known for the whole population. Theory is offered for several estimators which rely on nonparametric regression, and for calibration estimators which require a parametric model.

Publié le : 1993-09-14
Classification: Auxiliary information, design-based estimation, model-based sampling, survey sample data, bandwidth, kernel estimator, 62D05, 62G05, 62J99

@article{1176349267,
     author = {Dorfman, Alan H. and Hall, Peter},
     title = {Estimators of the Finite Population Distribution Function using Nonparametric Regression},
     journal = {Ann. Statist.},
     volume = {21},
     number = {1},
     year = {1993},
     pages = { 1452-1475},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1176349267}
}

Dorfman, Alan H.; Hall, Peter. Estimators of the Finite Population Distribution Function using Nonparametric Regression. Ann. Statist., Tome 21 (1993) no. 1, pp.  1452-1475. http://gdmltest.u-ga.fr/item/1176349267/