Application of ARIMA Model to Prediction of Inflow in Songhuaba Reservoir in Dry Season

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Bibliographic Details
Main Author: YANG Shao-qiong
Format: Article
Language:zho
Published: Editorial Office of Pearl River 2009-01-01
Series:Renmin Zhujiang
Online Access:http://www.renminzhujiang.cn/thesisDetails?columnId=47662796&Fpath=home&index=0
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author YANG Shao-qiong
author_facet YANG Shao-qiong
author_sort YANG Shao-qiong
collection DOAJ
format Article
id doaj-art-22ec0dc29be9493284afa9083ea62289
institution Kabale University
issn 1001-9235
language zho
publishDate 2009-01-01
publisher Editorial Office of Pearl River
record_format Article
series Renmin Zhujiang
spelling doaj-art-22ec0dc29be9493284afa9083ea622892025-01-15T02:41:25ZzhoEditorial Office of Pearl RiverRenmin Zhujiang1001-92352009-01-013047662796Application of ARIMA Model to Prediction of Inflow in Songhuaba Reservoir in Dry SeasonYANG Shao-qionghttp://www.renminzhujiang.cn/thesisDetails?columnId=47662796&Fpath=home&index=0
spellingShingle YANG Shao-qiong
Application of ARIMA Model to Prediction of Inflow in Songhuaba Reservoir in Dry Season
Renmin Zhujiang
title Application of ARIMA Model to Prediction of Inflow in Songhuaba Reservoir in Dry Season
title_full Application of ARIMA Model to Prediction of Inflow in Songhuaba Reservoir in Dry Season
title_fullStr Application of ARIMA Model to Prediction of Inflow in Songhuaba Reservoir in Dry Season
title_full_unstemmed Application of ARIMA Model to Prediction of Inflow in Songhuaba Reservoir in Dry Season
title_short Application of ARIMA Model to Prediction of Inflow in Songhuaba Reservoir in Dry Season
title_sort application of arima model to prediction of inflow in songhuaba reservoir in dry season
url http://www.renminzhujiang.cn/thesisDetails?columnId=47662796&Fpath=home&index=0
work_keys_str_mv AT yangshaoqiong applicationofarimamodeltopredictionofinflowinsonghuabareservoirindryseason