Application of linear stochastic models to monthly flow data of Kelkit Stream

By Kadri Yürekli, Ahmet Kurunç, Fazli Ozturk. 2005

73 citations recorded by the source corpus.

Subfields: Finance, Global and Planetary Change, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/724ae487b61c0d8dd522470e963c57204cfe0b95

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Finance

1. Ö. F. Durdu

In Global and Planetary Change

1. Hossein Bonakdari
2. Hamid Moeeni
3. Ö. F. Durdu
4. Minglei Ren

In Management Science and Operations Research

1. Hamid Moeeni
2. Ö. F. Durdu
3. Hossein Bonakdari

Citations in the corpus

• Forecasting monthly inflow with extreme seasonal variation using the hybrid SARIMA-ANN model (2017, background): “For instance, Yurekli et al. (2005) studied ARIMA model application for monthly flow series.”
• Application of linear stochastic models for drought forecasting in the Büyük Menderes river basin, western Turkey (2010, methodology): “Yurekli et al. (2005) employed linear stochastic models (ARIMA) to simulate monthly flow data in Kelkit stream, Turkey.”
• Singular Spectrum Analysis and ARIMA Hybrid Model for Annual Runoff Forecasting (2011, methodology): “Among them, Auto Regressive Integrated Moving Average (ARIMA) model based on the stochastic theory has always been employed to make the hydrological forecast for hydrological data exhibit a strong random component (Lawrance and Kottegoda 1977; Fernando and Jayawardena 1994; Yurekli et al. 2005).”