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Nonparametric estimation of individual food availability along with bootstrap confidence intervals in household budget surveys

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  • Vasdekis, V. G. S.
  • Trichopoulou, A.
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    Abstract

    An additive nonparametric model is proposed for the analysis of household budget surveys data whose estimation reduces to least squares. Parameter estimates are biased. A first-order approximation for the bias is obtained and it is used to bias correct the residuals of the model in order to construct bootstrap confidence intervals for the model parameter estimates. The results show somewhat shorter intervals than pointwise intervals which are based on a normal approximation with less bias.

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    File URL: http://www.sciencedirect.com/science/article/B6V1D-3Y2WX36-3/2/2261730e60a66eeb68422cfbb6873322
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    Bibliographic Info

    Article provided by Elsevier in its journal Statistics & Probability Letters.

    Volume (Year): 46 (2000)
    Issue (Month): 4 (February)
    Pages: 337-345

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    Handle: RePEc:eee:stapro:v:46:y:2000:i:4:p:337-345

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    Related research

    Keywords: Nonparametric models Least squares Bias Bootstrap confidence intervals;

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    1. Andrew Chesher, 1997. "Diet Revealed?: Semiparametric Estimation of Nutrient Intake-Age Relationships," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 160(3), pages 389-428.
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