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New simple bounds for standard normal distribution function.

Authors :
Ananbeh, Enas A.
Eidous, Omar M.
Source :
Communications in Statistics: Simulation & Computation. Mar2024, p1-8. 8p. 4 Illustrations, 1 Chart.
Publication Year :
2024

Abstract

AbstractThis paper presents new simple lower and upper bounds for the cumulative normal distribution function, Φ(z). The accuracy and closeness of the proposed bounds to the exact Φ(z) are investigated based on the maximum absolute error and the mean absolute error. It is found that the maximum absolute error of the proposed lower bound is 8.55×10−3 and it is 4.1×10−4 for the upper bound. In addition, based on 5001 values between z=0 and z=5 with step 0.001, we found that the mean absolute error is 3.27×10−3 for the lower bound and it is 1.1×10−4 for the upper bound and these two values decrease with increasing the z value. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03610918
Database :
Academic Search Index
Journal :
Communications in Statistics: Simulation & Computation
Publication Type :
Academic Journal
Accession number :
176030642
Full Text :
https://doi.org/10.1080/03610918.2024.2326596