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Confidence regions for multinomial parameters

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  • Lee, A. J.
  • Nyangoma, S. O.
  • Seber, G. A. F.

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  • Lee, A. J. & Nyangoma, S. O. & Seber, G. A. F., 2002. "Confidence regions for multinomial parameters," Computational Statistics & Data Analysis, Elsevier, vol. 39(3), pages 329-342, May.
    • Handle: RePEc:eee:csdana:v:39:y:2002:i:3:p:329-342
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    Citations

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    Cited by:

    1. Nyangoma, S.O. & Fung, W.-K. & Jansen, R.C., 2006. "Identifying influential multinomial observations by perturbation," Computational Statistics & Data Analysis, Elsevier, vol. 50(10), pages 2799-2821, June.
    2. Linda Möstel & Marius Pfeuffer & Matthias Fischer, 2020. "Statistical inference for Markov chains with applications to credit risk," Computational Statistics, Springer, vol. 35(4), pages 1659-1684, December.
    3. Rossi, Roberto & Prestwich, Steven & Tarim, S. Armagan & Hnich, Brahim, 2014. "Confidence-based optimisation for the newsvendor problem under binomial, Poisson and exponential demand," European Journal of Operational Research, Elsevier, vol. 239(3), pages 674-684.
    4. Claudia Furlan & Cinzia Mortarino, 2020. "Comparison among simultaneous confidence regions for nonlinear diffusion models," Computational Statistics, Springer, vol. 35(4), pages 1951-1991, December.
    5. de Peretti, Christian & Siani, Carole, 2010. "Graphical methods for investigating the finite-sample properties of confidence regions," Computational Statistics & Data Analysis, Elsevier, vol. 54(2), pages 262-271, February.

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