Description: 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
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EAN: 9780367580186
UPC: 9780367580186
ISBN: 9780367580186
MPN: N/A
Item Height: 1.7 cm
Item Length: 22.9 cm
Item Width: 15.2 cm
Publisher: Taylor & Francis Ltd
Subject: Mathematics
Publication Year: 2020
Number of Pages: 310 Pages
Publication Name: Robust Regression: Analysis and Applications
Language: English
Type: Textbook
Item Weight: 572 g
Author: Kenneth D. Lawrence
Format: Paperback
