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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Farebrother, Richard William (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Σειρά:SpringerBriefs in Statistics,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a L1-Norm and L∞-Norm Estimation  |h [electronic resource] :  |b An Introduction to the Least Absolute Residuals, the Minimax Absolute Residual and Related Fitting Procedures /  |c by Richard William Farebrother. 
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505 0 |a 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.  . 
520 |a 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. 
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