Naive weight fuzzy time series for forecasting in a case study for stationary and non-stationary data

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Main Author: Efendi , Riswan
Format: Thesis
Published: 2010
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spelling my-utm-ep.165522017-08-13T05:58:30Z Naive weight fuzzy time series for forecasting in a case study for stationary and non-stationary data 2010 Efendi , Riswan Q Science (General) 2010 Thesis http://eprints.utm.my/id/eprint/16552/ http://libraryopac.utm.my/client/en_AU/main/search/results?qu=Naive+weight+fuzzy+time+series+for+forecasting+in+a+case+study+for+stationary+and+non-stationary+data&te= masters Universiti Teknologi Malaysia, Faculty of Science Faculty of Science
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic Q Science (General)
spellingShingle Q Science (General)
Efendi , Riswan
Naive weight fuzzy time series for forecasting in a case study for stationary and non-stationary data
description
format Thesis
qualification_level Master's degree
author Efendi , Riswan
author_facet Efendi , Riswan
author_sort Efendi , Riswan
title Naive weight fuzzy time series for forecasting in a case study for stationary and non-stationary data
title_short Naive weight fuzzy time series for forecasting in a case study for stationary and non-stationary data
title_full Naive weight fuzzy time series for forecasting in a case study for stationary and non-stationary data
title_fullStr Naive weight fuzzy time series for forecasting in a case study for stationary and non-stationary data
title_full_unstemmed Naive weight fuzzy time series for forecasting in a case study for stationary and non-stationary data
title_sort naive weight fuzzy time series for forecasting in a case study for stationary and non-stationary data
granting_institution Universiti Teknologi Malaysia, Faculty of Science
granting_department Faculty of Science
publishDate 2010
_version_ 1747815070741561344