Nonoverlapping block stratified random sampling approach for assessment of stationarity
RSV Teegavarapu, PJ Sharma - Journal of Hydrologic Engineering, 2021 - ascelibrary.org
Assessment of stationarity in any hydroclimatic time series is a vital task for hydrologic
design and climate change assessments. Methods that rely on the presence of statistically …
design and climate change assessments. Methods that rely on the presence of statistically …
Comparison of SARIMA and SARIMAX for long-term drought prediction
Z Arjmandi Harat, MA Asadi Zarch - Desert Management, 2022 - jdmal.ir
Long-term drought prediction is of considerable importance in water resources
management. Time series models are appropriate tools to predict climatic events. In this …
management. Time series models are appropriate tools to predict climatic events. In this …
Investigating the effect of observational data length on ARIMA modeling and forecasting accuracy: a case study of Kortian Stream watershed, Iran
H Sahranavard, M Naseri - Water Supply, 2022 - iwaponline.com
Using autoregressive integrated moving average (ARIMA) for modeling and predicting time
series is worldwide, but how many available recorded observations can be used for …
series is worldwide, but how many available recorded observations can be used for …