2024•Journal of Agricultural Engineering (India)Requires access

Modelling of Annual Stream Flows by Autoregressive Models

R. N. Wagh, Devendra Kumar

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Abstract

The main aim of the present study was to develop a autoregressive model for annual streamflow of Godavari river. Autoregressive models of order 1,2.3.4 and 5 were tried. AR (I) model was found suitable based on Box- Pierce Portmonteau test and Akaike Information Criterion test. The mean and skewness of generated series were found close to historical values. The mean forecast error. mean relative error and integral square error indicates a high degree of model fitness to the observed data series.

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What this paper is about

The main aim of the present study was to develop a autoregressive model for annual streamflow of Godavari river. Autoregressive models of order 1,2.3.4 and 5 were tried. AR (I) model was found suitable based on Box- Pierce Portmonteau test and Akaike Information Criterion test. The mean and skewness of generated series were found close to historical values. The mean forecast error. mean relative error and integral square error indicates a high degree of model fitness to the observed data series.

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Available abstract

The main aim of the present study was to develop a autoregressive model for annual streamflow of Godavari river. Autoregressive models of order 1,2.3.4 and 5 were tried. AR (I) model was found suitable based on Box- Pierce Portmonteau test and Akaike Information Criterion test. The mean and skewness of generated series were found close to historical values. The mean forecast error. mean relative error and integral square error indicates a high degree of model fitness to the observed data series.

Key concepts: Autoregressive model, Econometrics, STAR model, Environmental science, Mathematics, Autoregressive integrated moving average, Statistics, Time series

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