A generalized Newton algorithm for quantile regression models
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Year
: 2014DOI: 10.1007/s00180-014-0498-x
Keyword(s): Linear programming,Quadratic penalty function,Armijo step,$$L_1$$ L 1 constrained model
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A generalized Newton algorithm for quantile regression models
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| contributor author | Zheng, Songfeng | |
| date accessioned | 2020-03-12T11:06:42Z | |
| date available | 2020-03-12T11:06:42Z | |
| date issued | 2014 | |
| identifier issn | 0943-4062 | |
| identifier other | 10.1007-s00180-014-0498-x.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/847741?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | Springer Berlin Heidelberg | |
| title | A generalized Newton algorithm for quantile regression models | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 6674984 | |
| subject keywords | Linear programming | |
| subject keywords | Quadratic penalty function | |
| subject keywords | Armijo step | |
| subject keywords | $$L_1$$ L 1 constrained model | |
| identifier doi | 10.1007/s00180-014-0498-x | |
| journal title | Computational Statistics | |
| journal volume | 29 | |
| journal issue | 6 | |
| filesize | 300570 | |
| citations | 0 |