Using Nonparametric Conditional M-Quantiles to Estimate a Cumulative Distribution Function in a Domain

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: 07 Mar 2018 13:22
OAI ID: oai:tse-fr.eu:22254
URI: http://publications.ut-capitole.fr/id/eprint/3289

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