Estimating Parameters of SAR Model by Recursive Least Square Method

Meng Cheng; Jo Song Guk; Jin Wen Wang

doi:10.4028/www.scientific.net/AMR.518-523.4171

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Application of Visual MODFLOW to Numerical Simulation of Multi-Level Groundwater
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Environmental Isotope Hydrogeochemical Characteristics and Instructions of Geothermal Water in Xianyang Urban Area
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Establishing and Application of Ecology-Oriented Water Resources Optimal Allocation Model in Chanba River Basin
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Estimating Parameters of SAR Model by Recursive Least Square Method
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Groundwater Chemical Characteristics in the Taklimakan Desert
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Man-Water Harmony Index and its Calculation Model
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 518-523Estimating Parameters of SAR Model by Recursive...

Estimating Parameters of SAR Model by Recursive Least Square Method

Abstract:

Seasonal runoff series can be described by seasonal autoregressive model, which is extensively applied in long-term runoff forecasting. The common way of parameters estimation is moment estimation. This paper estimates parameters of seasonal autoregressive model by recursive least square method and applies the method in forecasting the monthly runoff for the Three Gorges. An effective procedure based upon the least fitting error is proposed to determine the model order. The forecasting results are satisfactory.

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Periodical:

Advanced Materials Research (Volumes 518-523)

Pages:

4171-4176

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.518-523.4171

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Online since:

May 2012

Authors:

Meng Cheng, Jo Song Guk, Jin Wen Wang

Keywords:

Recursive Least Square Method, Runoff Forecasting, Seasonal Autoregressive Model, Three Gorges

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