TY  - BOOK
AU  - 
ED  - SpringerLink (Online service)
TI  - L1-Norm and L-Norm Estimation: An Introduction to the Least Absolute Residuals, the Minimax Absolute Residual and Related Fitting Procedures 
T2  - SpringerBriefs in Statistics,
SN  - 9783642363009
AV  - QA276-280 
U1  - 519.5 23
PY  - 2013///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - Statistics
KW  - Matrix theory
KW  - Geometry
KW  - Mechanics
KW  - Mathematical statistics
KW  - Statistical Theory and Methods
KW  - Linear and Multilinear Algebras, Matrix Theory
KW  - History of Mathematical Sciences
N1  - 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.; ZDB-2-SMA
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-642-36300-9
ER  -