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The Percentage Points of the Normal Distribution

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  • Michael J. Wichura

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  • Michael J. Wichura, 1988. "The Percentage Points of the Normal Distribution," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 37(3), pages 477-484, November.
    • Handle: RePEc:bla:jorssc:v:37:y:1988:i:3:p:477-484
    DOI: 10.2307/2347330
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    Cited by:

    1. De Schrijver, Steven K. & Aghezzaf, El-Houssaine & Vanmaele, Hendrik, 2014. "Double precision rational approximation algorithm for the inverse standard normal second order loss function," Applied Mathematics and Computation, Elsevier, vol. 232(C), pages 247-253.
    2. Ignacio Mauleón, 2022. "Contributions to Risk Assessment with Edgeworth–Sargan Density Expansions (I): Stability Testing," Mathematics, MDPI, vol. 10(7), pages 1-18, March.
    3. Benedek, Gábor & Kóbor, Ádám & Pataki, Attila, 2002. "A kapcsolatszorosság mérése m-dimenziós kopulákkal és értékpapírportfólió-alkalmazások [Measuring dependence with m-dimensional copulas and applications of this]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 105-125.
    4. Haas, Markus & Mittnik, Stefan & Mizrach, Bruce, 2006. "Assessing central bank credibility during the ERM crises: Comparing option and spot market-based forecasts," Journal of Financial Stability, Elsevier, vol. 2(1), pages 28-54, April.
    5. Roberto Baragona & Francesco Battaglia & Domenico Cucina, 2004. "Estimating threshold subset autoregressive moving-average models by genetic algorithms," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1), pages 39-61.
    6. J. Andrés Christen & Bruno Sansó & Mario Santana-Cibrian & Jorge X. Velasco-Hernández, 2016. "Bayesian deconvolution of oil well test data using Gaussian processes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(4), pages 721-737, March.
    7. Huang, Alex YiHou, 2010. "An optimization process in Value-at-Risk estimation," Review of Financial Economics, Elsevier, vol. 19(3), pages 109-116, August.
    8. Siu Hung Cheung & Ka Ho Wu & Wai Sum Chan, 1998. "Simultaneous prediction intervals for autoregressive-integrated moving-average models: A comparative study," Computational Statistics & Data Analysis, Elsevier, vol. 28(3), pages 297-306, September.
    9. William T. Shaw & Thomas Luu & Nick Brickman, 2009. "Quantile Mechanics II: Changes of Variables in Monte Carlo methods and GPU-Optimized Normal Quantiles," Papers 0901.0638, arXiv.org, revised Dec 2011.
    10. Alex YiHou Huang, 2010. "An optimization process in Value‐at‐Risk estimation," Review of Financial Economics, John Wiley & Sons, vol. 19(3), pages 109-116, August.
    11. João Claro & Jorge Sousa, 2010. "A multiobjective metaheuristic for a mean-risk static stochastic knapsack problem," Computational Optimization and Applications, Springer, vol. 46(3), pages 427-450, July.
    12. Sulewski Piotr & Szymkowiak Magdalena, 2022. "The Weibull lifetime model with randomised failure-free time," Statistics in Transition New Series, Statistics Poland, vol. 23(4), pages 59-76, December.

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