REACT Fits to Linear Models and Scatterplots
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| Název: | REACT Fits to Linear Models and Scatterplots |
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| Autoři: | Rudolf Beran |
| Přispěvatelé: | The Pennsylvania State University CiteSeerX Archives |
| Zdroj: | ftp://statlab.uni-heidelberg.de/pub/reports/by.series/beitrag.49.ps |
| Rok vydání: | 1998 |
| Sbírka: | CiteSeerX |
| Témata: | risk estimation, adaptation, discrete cosine transform, economical basis, minimum CL, symmetric linear smoother, asymptotic minimax, shrinkage |
| Popis: | this paper, that yields superefficient fits to the Gaussian linear model. The risk of REACT fits under quadratic loss is often far smaller than the risk of the classically efficient least squares fit. Applied to the one-way layout, REACT fits generate automatic scatterplot smoothers that compete well |
| Druh dokumentu: | text |
| Popis souboru: | application/postscript |
| Jazyk: | English |
| Relation: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.49.3450 |
| Dostupnost: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.49.3450 |
| Rights: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| Přístupové číslo: | edsbas.9504555C |
| Databáze: | BASE |
Nájsť tento článok vo Web of Science | Abstrakt: | this paper, that yields superefficient fits to the Gaussian linear model. The risk of REACT fits under quadratic loss is often far smaller than the risk of the classically efficient least squares fit. Applied to the one-way layout, REACT fits generate automatic scatterplot smoothers that compete well |
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