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Robust Regression: Analysis and Applications
Paperback

Robust Regression: Analysis and Applications

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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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MORE INFO
Format
Paperback
Publisher
Taylor & Francis Ltd
Country
United Kingdom
Date
30 June 2020
Pages
310
ISBN
9780367580186

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

Read More
Format
Paperback
Publisher
Taylor & Francis Ltd
Country
United Kingdom
Date
30 June 2020
Pages
310
ISBN
9780367580186