Semiparametric model average prediction in panel data analysis

10.1080/10485252.2017.1404061

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Bibliographic Details
Main Authors: Tao Huang, Jialiang Li
Other Authors: STATISTICS & APPLIED PROBABILITY
Format: Article
Published: Taylor & Francis 2018
Online Access:http://scholarbank.nus.edu.sg/handle/10635/141387
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1413872024-11-08T20:03:49Z Semiparametric model average prediction in panel data analysis Tao Huang Jialiang Li STATISTICS & APPLIED PROBABILITY 10.1080/10485252.2017.1404061 Journal of Nonparametric Statistics 30 1 125-144 2018-05-03T04:44:10Z 2018-05-03T04:44:10Z 2018-01-29 Article Tao Huang, Jialiang Li (2018-01-29). Semiparametric model average prediction in panel data analysis. Journal of Nonparametric Statistics 30 (1) : 125-144. ScholarBank@NUS Repository. https://doi.org/10.1080/10485252.2017.1404061 1048-5252 http://scholarbank.nus.edu.sg/handle/10635/141387 000423769400005 Taylor & Francis Taylor & Francis
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description 10.1080/10485252.2017.1404061
author2 STATISTICS & APPLIED PROBABILITY
author_facet STATISTICS & APPLIED PROBABILITY
Tao Huang
Jialiang Li
format Article
author Tao Huang
Jialiang Li
spellingShingle Tao Huang
Jialiang Li
Semiparametric model average prediction in panel data analysis
author_sort Tao Huang
title Semiparametric model average prediction in panel data analysis
title_short Semiparametric model average prediction in panel data analysis
title_full Semiparametric model average prediction in panel data analysis
title_fullStr Semiparametric model average prediction in panel data analysis
title_full_unstemmed Semiparametric model average prediction in panel data analysis
title_sort semiparametric model average prediction in panel data analysis
publisher Taylor & Francis
publishDate 2018
url http://scholarbank.nus.edu.sg/handle/10635/141387
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