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Saddlepoint Approximation for Data in Simplices: A Review with New Applications

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  • Riccardo Gatto

    (Institute of Mathematical Statistics and Actuarial Science, University of Bern, 3012 Bern, Switzerland)

Abstract

This article provides a review of the saddlepoint approximation for a M-statistic of a sample of nonnegative random variables with fixed sum. The sample vector follows the multinomial, the multivariate hypergeometric, the multivariate Polya or the Dirichlet distributions. The main objective is to provide a complete presentation in terms of a single and unambiguous notation of the common mathematical framework of these four situations: the simplex sample space and the underlying general urn model. Some important applications are reviewed and special attention is given to recent applications to models of circular data. Some novel applications are developed and studied numerically.

Suggested Citation

  • Riccardo Gatto, 2019. "Saddlepoint Approximation for Data in Simplices: A Review with New Applications," Stats, MDPI, vol. 2(1), pages 1-27, February.
    • Handle: RePEc:gam:jstats:v:2:y:2019:i:1:p:10-147:d:207013
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    References listed on IDEAS

    as
    1. Soujin Wang, 1990. "Saddlepoint approximations in resampling analysis," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 42(1), pages 115-131, March.
    2. Riccardo Gatto, 2010. "A Saddlepoint Approximation to the Distribution of Inhomogeneous Discounted Compound Poisson Processes," Methodology and Computing in Applied Probability, Springer, vol. 12(3), pages 533-551, September.
    3. Gatto, Riccardo & Jammalamadaka, S. Rao, 2002. "A saddlepoint approximation for testing exponentiality against some increasing failure rate alternatives," Statistics & Probability Letters, Elsevier, vol. 58(1), pages 71-81, May.
    4. Wang, Suojin, 1995. "One-step saddlepoint approximations for quantiles," Computational Statistics & Data Analysis, Elsevier, vol. 20(1), pages 65-74, July.
    5. S. M. Mirakhmedov & S. Rao Jammalamadaka & Ibrahim B. Mohamed, 2014. "On Edgeworth Expansions in Generalized Urn Models," Journal of Theoretical Probability, Springer, vol. 27(3), pages 725-753, September.
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