L1-Norm and L∞-Norm Estimation

An Introduction to the Least Absolute Residuals, the Minimax Absolute Residual and Related Fitting Procedures

Specificaties
Paperback, 58 blz. | Engels
Springer Berlin Heidelberg | 2013e druk, 2013
ISBN13: 9783642362996
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Juridisch :
Springer Berlin Heidelberg 2013e druk, 2013 9783642362996
Onderdeel van serie SpringerBriefs in Statistics
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.​

Specificaties

ISBN13:9783642362996
Taal:Engels
Bindwijze:paperback
Aantal pagina's:58
Uitgever:Springer Berlin Heidelberg
Druk:2013

Inhoudsopgave

Introduction.- Point Fitting Problems in One- and Two-dimensions.- The Hyperplane Fitting Problem in Two or More Dimensions.- Linear Programming Computations.- Statistical Theory.- The Least Median of Squared Residuals Procedure.- Mechanical Representations.- References.- Index of Names. ​  

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        L1-Norm and L∞-Norm Estimation