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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
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| Edición: | 1st ed. 2013. |
| Colección: | SpringerBriefs in Statistics,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 020 | |a 9783642363009 |9 978-3-642-36300-9 | ||
| 024 | 7 | |a 10.1007/978-3-642-36300-9 |2 doi | |
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| 100 | 1 | |a Farebrother, Richard. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 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 Farebrother. |
| 250 | |a 1st ed. 2013. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2013. | |
| 300 | |a VI, 58 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a SpringerBriefs in Statistics, |x 2191-5458 | |
| 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. | ||
| 650 | 0 | |a Statistics . | |
| 650 | 0 | |a Algebras, Linear. | |
| 650 | 0 | |a Geometry. | |
| 650 | 0 | |a Mathematics. | |
| 650 | 0 | |a History. | |
| 650 | 0 | |a Mechanics. | |
| 650 | 1 | 4 | |a Statistical Theory and Methods. |
| 650 | 2 | 4 | |a Linear Algebra. |
| 650 | 2 | 4 | |a Geometry. |
| 650 | 2 | 4 | |a History of Mathematical Sciences. |
| 650 | 2 | 4 | |a Classical Mechanics. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783642363016 |
| 776 | 0 | 8 | |i Printed edition: |z 9783642362996 |
| 830 | 0 | |a SpringerBriefs in Statistics, |x 2191-5458 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-642-36300-9 |z Texto Completo |
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| 950 | |a Mathematics and Statistics (SpringerNature-11649) | ||
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