International Journal of Agricultural and Natural Sciences

International Journal of Agricultural and Natural Sciences

Investigation Of Seasonal Variation and Trend Effect in Stochastic Model Selection

Yazarlar: Mehmet Ali HINIS

Cilt 4 , Sayı 1 , 2011 , Sayfalar 69-75

Konular:

Anahtar Kelimeler:Stochastic model,AR,ARMA,SAR,SARMA,Trend and seasonal effect,Estimation and diagnostic checking

Özet: Stochastic models are frequently used methods in hydrology. These models are used to produce longer time period synthetic data having the same statistical parameters of limited observed data. Hydrologic data have usually seasonal variation and trend factors which effect to determine the best fit stochastic model. The effects of these parameters on various stochastic models were investigated in this study by using monthly averaged flow data of Demirci (16-080) flow observation station in Konya basin in the present study. In various orders of AR, ARMA, SAR and SARMA models were evaluated for different seasonal effect and trend factor. In the second part of the study, several criteria were compared to determine the best fit model.

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@article{2011, title={Investigation Of Seasonal Variation and Trend Effect in Stochastic Model Selection}, volume={4}, number={69–75}, publisher={International Journal of Agricultural and Natural Sciences}, author={Mehmet Ali HINIS}, year={2011} }
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Mehmet Ali HINIS. (2011). Investigation Of Seasonal Variation and Trend Effect in Stochastic Model Selection (Vol. 4). Vol. 4. International Journal of Agricultural and Natural Sciences.
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Mehmet Ali HINIS. Investigation Of Seasonal Variation and Trend Effect in Stochastic Model Selection. no. 69–75, International Journal of Agricultural and Natural Sciences, 2011.
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