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Improved confidence regions based on Edgeworth expansions

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  • Withers, Christopher S.
  • Nadarajah, Saralees

Abstract

Let ŵ be a consistent estimate of w in Rp satisfying the standard cumulant expansion in powers of n−1 with asymptotic covariance n−1V. Then n1/2(ŵ−w) has the standard Edgeworth expansion about Np(0,V). We obtain from this the Edgeworth expansions for Tn(V)=n(ŵ−w)′V−1(ŵ−w) about χp2 and for its Studentized version, Tn(V̂). So, we obtain a confidence region for w of level α+O(n−2).

Suggested Citation

  • Withers, Christopher S. & Nadarajah, Saralees, 2012. "Improved confidence regions based on Edgeworth expansions," Computational Statistics & Data Analysis, Elsevier, vol. 56(12), pages 4366-4380.
  • Handle: RePEc:eee:csdana:v:56:y:2012:i:12:p:4366-4380
    DOI: 10.1016/j.csda.2012.03.019
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    References listed on IDEAS

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    1. Xu, Jin & Gupta, Arjun K., 2006. "Improved confidence regions for a mean vector under general conditions," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1051-1062, November.
    2. A. Azzalini & A. Capitanio, 1999. "Statistical applications of the multivariate skew normal distribution," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(3), pages 579-602.
    3. Kotz,Samuel & Nadarajah,Saralees, 2004. "Multivariate T-Distributions and Their Applications," Cambridge Books, Cambridge University Press, number 9780521826549, November.
    4. 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. Kakizawa, Yoshihide, 2016. "Some integrals involving multivariate Hermite polynomials: Application to evaluating higher-order local powers," Statistics & Probability Letters, Elsevier, vol. 110(C), pages 162-168.
    2. Claudia Furlan & Cinzia Mortarino, 2020. "Comparison among simultaneous confidence regions for nonlinear diffusion models," Computational Statistics, Springer, vol. 35(4), pages 1951-1991, December.
    3. C. S. Withers, 2024. "5th-Order Multivariate Edgeworth Expansions for Parametric Estimates," Mathematics, MDPI, vol. 12(6), pages 1-28, March.

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