Robust Regression: Analysis and Applications

By Kenneth D. Lawrence

Robust Regression: Analysis and Applications characterizes robust estimators in terms of how much they weigh. Each observation discusses generalized properties of LP-estimators. It includes an algorithm for identifying outliers using least absolute value criterion, in regression modelling reviews re-descending M-estimators studies Li linear regres

• Format: Paperback
• Language: English
• ISBN: 0367580187
• ISBN13: 9780367580186
• Release Date: June 2020
• Publisher: CRC Press
• Length: 310 Pages
• Weight: 0.92 lbs.
• Dimensions: 0.7" x 6.0" x 9.0"