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The distribution and quantiles of functionals of weighted empirical distributions when observations have different distributions

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  • Withers, Christopher S.
  • Nadarajah, Saralees

Abstract

This paper extends Edgeworth-Cornish-Fisher expansions for the distribution and quantiles of nonparametric estimates in two ways. Firstly, it allows observations to have different distributions. Secondly, it allows the observations to be weighted in a predetermined way. The use of weighted estimates has a long history, including applications to regression, rank statistics and Bayes theory. However, asymptotic results have generally been only first order (the CLT and weak convergence). We give third order asymptotics for the distribution and percentiles of any smooth functional of a weighted empirical distribution, thus allowing a considerable increase in accuracy over earlier CLT results. Consider independent non-identically distributed (non-iid) observations X1n,...,Xnn in Rs. Let be their weighted empirical distribution with weights w1n,...,wnn. We obtain cumulant expansions and hence Edgeworth-Cornish-Fisher expansions for for any smooth functional T([dot operator]) by extending the concepts of von Mises derivatives to signed measures of total measure 1. As an example we give the cumulant coefficients needed for Edgeworth-Cornish-Fisher expansions to O(n-3/2) for the sample coefficient of variation when observations are non-iid.

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  • Withers, Christopher S. & Nadarajah, Saralees, 2010. "The distribution and quantiles of functionals of weighted empirical distributions when observations have different distributions," Statistics & Probability Letters, Elsevier, vol. 80(13-14), pages 1093-1102, July.
    • Handle: RePEc:eee:stapro:v:80:y:2010:i:13-14:p:1093-1102
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    References listed on IDEAS

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    1. Christopher Withers & Saralees Nadarajah, 2008. "Edgeworth expansions for functions of weighted empirical distributions with applications to nonparametric confidence intervals," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 20(8), pages 751-768.
    2. Lahiri, S. N., 1992. "Edgeworth expansions for M-estimators of a regression parameter," Journal of Multivariate Analysis, Elsevier, vol. 43(1), pages 125-132, October.
    3. C. Withers, 1988. "Nonparametric confidence intervals for functions of several distributions," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 40(4), pages 727-746, December.
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    Cited by:

    1. Joanna Janczura & Rafał Weron, 2013. "Goodness-of-fit testing for the marginal distribution of regime-switching models with an application to electricity spot prices," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 97(3), pages 239-270, July.
    2. Janczura, Joanna & Weron, Rafal, 2010. "Goodness-of-fit testing for regime-switching models," MPRA Paper 22871, University Library of Munich, Germany.

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