fsdaSAS: A Package for Robust Regression for Very Large Datasets Including the Batch Forward Search

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...

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Bibliographic Details
Main Authors: Francesca Torti, Aldo Corbellini, Anthony C. Atkinson
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Stats
Subjects:
approximate analysis
big data
linked plots
monitoring
robust regression
Online Access:https://www.mdpi.com/2571-905X/4/2/22

Internet

https://www.mdpi.com/2571-905X/4/2/22

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