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Casanova, Sandrine
(2009)
Using Nonparametric Conditional M-Quantiles to Estimate a Cumulative Distribution Function in a Domain.
TSE Working Paper, n. 09-133
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Official URL : http://tse-fr.eu/pub/22254
Abstract
Estimating the cumulative distribution function in survey sampling is of interest on the population but also on a sub-population (domain). However, in most practical applications, sample sizes in the domains are not large enough to produce sufficiently precise estimators. Therefore, we propose new nonparametric estimators of the cumulative distribution function in a domain based on M-quantile estimation. The obtained estimators are compared by simulations and applied to real data.
| Item Type: | Monograph (Working Paper) |
|---|---|
| Language: | English |
| Date: | December 2009 |
| Subjects: | B- ECONOMIE ET FINANCE |
| Divisions: | TSE-R (Toulouse) |
| Site: | UT1 |
| Date Deposited: | 18 Jan 2012 06:01 |
| Last Modified: | 02 Apr 2021 15:36 |
| OAI Identifier: | oai:tse-fr.eu:22254 |
| URI: | https://publications.ut-capitole.fr/id/eprint/3289 |
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- Using Nonparametric Conditional M-Quantiles to Estimate a Cumulative Distribution Function in a Domain. (deposited 18 Jan 2012 06:01) [Currently Displayed]
