Local linear smoothers using asymmetric kernels

10.1023/A:1022422002138

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Bibliographic Details
Main Author: Chen, S.X.
Other Authors: STATISTICS & APPLIED PROBABILITY
Format: Article
Published: 2014
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Online Access:http://scholarbank.nus.edu.sg/handle/10635/105203
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Institution: National University of Singapore
id sg-nus-scholar.10635-105203
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spelling sg-nus-scholar.10635-1052032023-08-30T21:58:43Z Local linear smoothers using asymmetric kernels Chen, S.X. STATISTICS & APPLIED PROBABILITY Beta kernels Gamma kernels Local linear smoother Non-parametric regression Sparse region 10.1023/A:1022422002138 Annals of the Institute of Statistical Mathematics 54 2 312-323 AISXA 2014-10-28T05:12:57Z 2014-10-28T05:12:57Z 2002 Article Chen, S.X. (2002). Local linear smoothers using asymmetric kernels. Annals of the Institute of Statistical Mathematics 54 (2) : 312-323. ScholarBank@NUS Repository. https://doi.org/10.1023/A:1022422002138 00203157 http://scholarbank.nus.edu.sg/handle/10635/105203 000176673400005 Scopus
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Beta kernels
Gamma kernels
Local linear smoother
Non-parametric regression
Sparse region
spellingShingle Beta kernels
Gamma kernels
Local linear smoother
Non-parametric regression
Sparse region
Chen, S.X.
Local linear smoothers using asymmetric kernels
description 10.1023/A:1022422002138
author2 STATISTICS & APPLIED PROBABILITY
author_facet STATISTICS & APPLIED PROBABILITY
Chen, S.X.
format Article
author Chen, S.X.
author_sort Chen, S.X.
title Local linear smoothers using asymmetric kernels
title_short Local linear smoothers using asymmetric kernels
title_full Local linear smoothers using asymmetric kernels
title_fullStr Local linear smoothers using asymmetric kernels
title_full_unstemmed Local linear smoothers using asymmetric kernels
title_sort local linear smoothers using asymmetric kernels
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/105203
_version_ 1776260963437117440