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Data Smoothing with Least-Squares Method by Polynomials of the 1st, 2nd or 3rd Power
Author

Alexander L. Urintsev
Organization: Joint Institute for Nuclear Research
Department: Laboratory of Particle Physics
Old MathSource #

0203-735
Revision date

1992-12-01
Description

Smoothing[y, method] performs smoothing of the data contained in vector y and returns the vector of smoothed data as a result. It is assumed that elements of list y are a values of some function f(x) given with accidental errors at equidistant points of the argument x. The user can select from one of the five smoothing methods according to the value of argument method.
Subject

*Mathematics > Probability and Statistics
Keywords

Statistics, Data manipulation, Data Analysis, Curve Fitting, Data smoothing, Polynomial fitting, Least squares, least-squares, knots, error analysis
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smoothi.m (11.3 KB) - Mathematica package
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smoothi.tst (2 KB) - Test suite for smoothi.m