fsdaSAS: A Package for Robust Regression for Very Large Datasets Including the Batch Forward Search
The forward search (FS) is a general method of robust data fitting that moves smoothly from very robust to maximum likelihood estimation. The regression procedures are included in the MATLAB toolbox FSDA. The work on a SAS version of the FS originates from the need for the analysis of large datasets...
Main Authors: | Francesca Torti, Aldo Corbellini, Anthony C. Atkinson |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-04-01
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Series: | Stats |
Subjects: | |
Online Access: | https://www.mdpi.com/2571-905X/4/2/22 |
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