Iteratively Reweighted Least Squares: Algorithms, Convergence Analysis, and Numerical Comparisons-Reference-Cited by-同舟云学术

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Iteratively Reweighted Least Squares: Algorithms, Convergence Analysis, and Numerical Comparisons

Published:1988-09 Issue:5 Volume:9 Page:907-921
ISSN:0196-5204
Container-title:SIAM Journal on Scientific and Statistical Computing
language:en
Short-container-title:SIAM J. Sci. and Stat. Comput.

Author:

Wolke R.,Schwetlick H.

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Link

http://epubs.siam.org/doi/pdf/10.1137/0909062

Reference11 articles.

1. A Robust Method for Multiple Linear Regression

2. An algorithm with guaranteed convergence for finding a zero of a function

3. Finite Algorithms for Huber’sM-Estimator

4. Numerical solution of robust regression problems: computational aspects, a comparison

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