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...
保存先:
| 第一著者: | |
|---|---|
| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| 版: | 1st ed. 2013. |
| シリーズ: | SpringerBriefs in Statistics
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| オンライン･アクセス: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 注記: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| 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 |
目次:
- 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.