L1-Norm and L-Norm Estimation : An Introduction to the Least Absolute Residuals, the Minimax Absolute Residual and Related Fitting Procedures

This monograph is concerned with the fitting of linear relationships in the context of the linear statistical model. As alternatives to the familiar least squared residuals procedure, it investigates the relationships between the least absolute residuals, the minimax absolute residual and the least...

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Détails bibliographiques
Auteur principal: Farebrother, Richard William, 19??-????
Format: Livre numérique
Langue:Anglais
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Édition:1st ed. 2013.
Collection:SpringerBriefs in Statistics
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Note: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• L1-norm and L-norm estimation, an introduction to the least absolute residuals, the minimax absolute residual and related fitting procedures, by Richard William Farebrother, 2013, Heidelberg[etc.], Springer, 1 vol. (VI-58 p.), Springer briefs in statistics, 978-3-642-36299-6
• L1-Norm and L-Norm Estimation, Texte imprimé, 9783642363016
• L1-norm and L-norm estimation, an introduction to the least absolute residuals, the minimax absolute residual and related fitting procedures, by Richard William Farebrother, 2013, Heidelberg[etc.], Springer, 1 vol. (VI-58 p.), Springer briefs in statistics, 978-3-642-36299-6
Description
Résumé:This monograph is concerned with the fitting of linear relationships in the context of the linear statistical model. As alternatives to the familiar least squared residuals procedure, it investigates the relationships between the least absolute residuals, the minimax absolute residual and the least median of squared residuals procedures. It is intended for graduate students and research workers in statistics with some command of matrix analysis and linear programming techniques.
Description:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783642363009
ISSN:2191-5458
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017