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
Link To Document :
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