alexa A New Approximation to Standard Normal Distribution Fun
ISSN: 2168-9679

Journal of Applied & Computational Mathematics
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Research Article

A New Approximation to Standard Normal Distribution Function

Abderrahmane M1* and Kamel B2

1Algeria Mathematical Department, EPST School of Algiers, Algeria

2Mathematical Faculty Algiers, Algeria

*Corresponding Author:
Malki Abderrahmane
Algeria Mathematical Department
EPST School of Algiers, Algeria
Tel: +21321621841
E-mail: [email protected]

Received Date: December 26, 2016; Accepted Date: June 22, 2017; Published Date: June 30, 2017

Citation: Abderrahmane M, Kamel B (2017) A New Approximation to Standard Normal Distribution Function. J Appl Computat Math 6: 351. doi: 10.4172/2168-9679.1000351

Copyright: © 2017 Abderrahmane M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



 This paper, presents three news-improved approximations to the Cumulative Distribution Function (C.D.F.). The first approximation improves the accuracy of approximation given by Polya (1945). In this first new approximation, we reduce the maximum absolute error (MAE) from0.000314 to 0.00103. For this first new approximation, Aludaat and Alodat were reduce the (MAE) from 0.000314 to 0.001972. The second new approximation improve Tocher’s approximation, we reduce the (MAE) from, 0.166 to 0.00577. For the third new approximation, we combined the two previous approximations. Hence, this combined approximation is more accurate and its inverse is hard to calculate. This third approximation reduces the (MAE) to be less than 2.232e-004. The two improved previous approximations are less accurate, but his inverse is easy to calculate. Finally, we give an application to the third approximation for pricing a European Call using Black-Scholes Model.


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