A generalized Newton algorithm for quantile regression models
نویسنده:
سال
: 2014شناسه الکترونیک: 10.1007/s00180-014-0498-x
کلیدواژه(گان): Linear programming,Quadratic penalty function,Armijo step,$$L_1$$ L 1 constrained model
کالکشن
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آمار بازدید
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 | |
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 |