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Approximations to the Cumulative Normal Function and its Inverse for Use on a Pocket Calculator

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  • E. Page

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  • E. Page, 1977. "Approximations to the Cumulative Normal Function and its Inverse for Use on a Pocket Calculator," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 26(1), pages 75-76, March.
    • Handle: RePEc:bla:jorssc:v:26:y:1977:i:1:p:75-76
    DOI: 10.2307/2346872
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    Cited by:

    1. Arturo Fernandez, 2005. "Progressively censored variables sampling plans for two-parameter exponential distributions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(8), pages 823-829.
    2. Edirisinghe, Chanaka & Atkins, Derek, 2017. "Lower bounding inventory allocations for risk pooling in two-echelon supply chains," International Journal of Production Economics, Elsevier, vol. 187(C), pages 159-167.
    3. Michele Mininni & Giuseppe Orlando & Giovanni Taglialatela, 2021. "Challenges in approximating the Black and Scholes call formula with hyperbolic tangents," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(1), pages 73-100, June.
    4. Hsien‐Tang Tsai & Herbert Moskowitz, 1989. "Chebyshev subinterval polynomial approximations for continuous distribution functions," Naval Research Logistics (NRL), John Wiley & Sons, vol. 36(4), pages 389-397, August.
    5. Fernandez, Arturo J., 2006. "Bayesian estimation based on trimmed samples from Pareto populations," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1119-1130, November.
    6. Weilong Fu & Ali Hirsa, 2022. "Solving barrier options under stochastic volatility using deep learning," Papers 2207.00524, arXiv.org.

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