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

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  • Casanova, Sandrine

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.

Suggested Citation

  • Casanova, Sandrine, 2009. "Using Nonparametric Conditional M-Quantiles to Estimate a Cumulative Distribution Function in a Domain," TSE Working Papers 09-133, Toulouse School of Economics (TSE).
    • Handle: RePEc:tse:wpaper:22254
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    References listed on IDEAS

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    1. Ray Chambers & Nikos Tzavidis, 2006. "M-quantile models for small area estimation," Biometrika, Biometrika Trust, vol. 93(2), pages 255-268, June.
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