DocumentCode
1031578
Title
Approximations to Error Functions
Author
Dyer, Stephen A. ; Dyer, Justin S.
Author_Institution
Kansas State Univ., Manhattan
Volume
10
Issue
6
fYear
2007
fDate
12/1/2007 12:00:00 AM
Firstpage
45
Lastpage
48
Abstract
This paper addresses approximations to error functions and points out three representative approximations, each with its own merits. Cody´s approximation is the most computationally intensive of the three, it is not overly so, and there is no arguing over its accuracy. The other two approximations are much simpler computationally, and they both yield accuracies that would be considered more than sufficient in most practical situations. Absolute relative error provides an effective measure of goodness, and, for approximations to the Q-function, it also places a loose bound on the absolute error in the approximation. Cody´s approximation is an effective surrogate for the true error function; the values provided by that approximation match the actual values of the error function to within roughly the precision of double-precision floating point arithmetic.
Keywords
Chebyshev approximation; error statistics; polynomial approximation; Borjesson-Sundberg approximations; Cody´s approximation; Q-function; absolute error; double-precision floating point arithmetic; error functions; polynomial approximations; probability density function; rational Chebyshev approximations; Closed-form solution; Distribution functions; Gaussian distribution; Gaussian noise; Instrumentation and measurement; Instruments; Noise measurement; Probability density function; Random variables; Thermal engineering;
fLanguage
English
Journal_Title
Instrumentation & Measurement Magazine, IEEE
Publisher
ieee
ISSN
1094-6969
Type
jour
DOI
10.1109/MIM.2007.4428581
Filename
4428581
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