Indicating when autocorrelated time series shifted using neural networks

Research Paper Series (National University of Singapore. Faculty of Business Administration); 2002-024

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Bibliographic Details
Main Author: Hwarng, H. Brian
Other Authors: DECISION SCIENCES
Format: Working Paper/Technical Report
Published: 2018
Online Access:http://scholarbank.nus.edu.sg/handle/10635/140436
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1404362019-04-23T08:25:54Z Indicating when autocorrelated time series shifted using neural networks Hwarng, H. Brian DECISION SCIENCES Research Paper Series (National University of Singapore. Faculty of Business Administration); 2002-024 1-27 2018-04-19T05:48:29Z 2018-04-19T05:48:29Z 2002-07 Working Paper/Technical Report Hwarng, H. Brian (2002-07). Indicating when autocorrelated time series shifted using neural networks. Research Paper Series (National University of Singapore. Faculty of Business Administration); 2002-024 : 1-27. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/140436 Research Paper Series; 2002-024
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
description Research Paper Series (National University of Singapore. Faculty of Business Administration); 2002-024
author2 DECISION SCIENCES
author_facet DECISION SCIENCES
Hwarng, H. Brian
format Working Paper/Technical Report
author Hwarng, H. Brian
spellingShingle Hwarng, H. Brian
Indicating when autocorrelated time series shifted using neural networks
author_sort Hwarng, H. Brian
title Indicating when autocorrelated time series shifted using neural networks
title_short Indicating when autocorrelated time series shifted using neural networks
title_full Indicating when autocorrelated time series shifted using neural networks
title_fullStr Indicating when autocorrelated time series shifted using neural networks
title_full_unstemmed Indicating when autocorrelated time series shifted using neural networks
title_sort indicating when autocorrelated time series shifted using neural networks
publishDate 2018
url http://scholarbank.nus.edu.sg/handle/10635/140436
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