A Local Procedure for Error Detection and Data Smoothing.
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WISCONSIN UNIV MADISON MATHEMATICS RESEARCH CENTER
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In this paper the authors present a local method for data smoothing which is modelled after the manual loft in the ship building industry. The method very effectively solves the outlier problem in statistics, and is superior to the well-known global procedures such as the Schoenberg-Reinsch spline algorithm when it is known that the points have only isolated errors or isolated large errors.
- Theoretical Mathematics