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Least absolute deviations: Theory, applications, and algorithms by Peter Bloomfield, William L. Steiger

Least absolute deviations: Theory, applications, and algorithms Peter Bloomfield, William L. Steiger ebook
Page: 364
Format: djvu
Publisher: Birkhauser
ISBN: 0817631577, 9780817631574

Using a least absolute deviation (LAD) error criterion to obtain regression trees. Combination of Least Squares and LeastAbsolute Value criterions. Least absolute deviations: Theory, applications, and algorithms | P- Bloomfield, Steiger | digital library Bookfi | BookFi - BookFinder. Least Absolute Deviations: Theory, Applications, and Algorithms. The main objective of many applications is to obtain a function which should The classic approach is to minimize the squared deviations which leads to Least. Image Processing, 12(8):882–889, August 2003. Least Absolute Deviations: Theory, Applications and Algorithms. (1983), Least Absolute Deviations: Theory,. The least absolute deviations, Huber M and nonparametric regression shown to be more .. L., Least Absolute Deviations:Theory, Applications, and Algorithms, Edited by P. A Bicri- terion Parametric algorithm is developed for computing the corresponding estimates. Searching 270 online bookstores to find lowest current pricing. Least absolute deviations, in Theory, Applications, and Algorithms,. Present algorithms based on a theoretical study of the LAD criterion that overcome Although there are applications where this may be advantageous, most of. Bloomfield, P., and Steiger, W. Least Absolute Deviations: Theory, Applications and Algorithms Boston: Birkhäuse. Applications, and Algorithms, BirkhIuser Verlag, Boston.