<p>MA(1) is the estimated moving average term at a 1-period lag (1 day), and AR (1) and AR(2) are the estimated autoregressive terms at a 1- and 2-period lags (1 and 2 days). Lagged values of independent variables are denoted similarly. Asterisks denote significant differences between sites. <i>Day after rain</i> is an indicator for the first rain free day, <i>Rain</i> is the quantity of precipitation (mm), <i>ΔWater Level</i> is the change in water level from one day to the next, <i>Post-La Niña (Wet Season)</i> is an indicator for the time directly following a La Niña phase in the wet season, and <i>Post-La Niña (Dry Season)</i> is an indicator for the time directly following a La Niña phase in the dry season.</p><p>Parameter estimates fr...
Rainfall according BMKG (the Meteorology, Climatology and Geophysics) Rain is a tangible form of liq...
This work studies seasonal time series models with application to lake level and weather data. The t...
This study discusses the application of ARIMA models in weather forecasting. A seasonal ARIMA model ...
<p>MA(1) is the estimated moving average term at a 1- period lag (1 day), and AR (1) and AR(2) are t...
<p>MA(1) is the estimated moving average term at a 1-period lag (1 day), and AR (1) is the estimated...
<p>MA(1) is the estimated moving average term at a 1- period lags (1 month) and AR(1) and AR(2) are ...
Auto regressive integrated moving average (ARIMA) models have been widely used to calculate monthly ...
<p><b>ARIMA</b>. Auto-Regressive Integrated Moving Average. <b>AR.</b> Auto-Regressive. <b>MA.</b> M...
International audienceThe standardized precipitation index (SPI) was used to quantify the classifica...
The dependence structure of rainfall is usually very complex both in time and space. It is shown in ...
<p>Final autoregressive integrated moving average (ARIMA) models including trend and seasonality as ...
In this paper a statistical study on the time series of water levels measured, during the 2014, in t...
Drought forecasting plays a crucial role in drought mitigation actions. Thus, this research deals wi...
Parameter estimates for selecting the ARIMA model, time series by macro-regions and Brazil, 1996–201...
Additional file 7: Annex 2. Pairwise correlation between malaria ARIMA model residuals and external ...
Rainfall according BMKG (the Meteorology, Climatology and Geophysics) Rain is a tangible form of liq...
This work studies seasonal time series models with application to lake level and weather data. The t...
This study discusses the application of ARIMA models in weather forecasting. A seasonal ARIMA model ...
<p>MA(1) is the estimated moving average term at a 1- period lag (1 day), and AR (1) and AR(2) are t...
<p>MA(1) is the estimated moving average term at a 1-period lag (1 day), and AR (1) is the estimated...
<p>MA(1) is the estimated moving average term at a 1- period lags (1 month) and AR(1) and AR(2) are ...
Auto regressive integrated moving average (ARIMA) models have been widely used to calculate monthly ...
<p><b>ARIMA</b>. Auto-Regressive Integrated Moving Average. <b>AR.</b> Auto-Regressive. <b>MA.</b> M...
International audienceThe standardized precipitation index (SPI) was used to quantify the classifica...
The dependence structure of rainfall is usually very complex both in time and space. It is shown in ...
<p>Final autoregressive integrated moving average (ARIMA) models including trend and seasonality as ...
In this paper a statistical study on the time series of water levels measured, during the 2014, in t...
Drought forecasting plays a crucial role in drought mitigation actions. Thus, this research deals wi...
Parameter estimates for selecting the ARIMA model, time series by macro-regions and Brazil, 1996–201...
Additional file 7: Annex 2. Pairwise correlation between malaria ARIMA model residuals and external ...
Rainfall according BMKG (the Meteorology, Climatology and Geophysics) Rain is a tangible form of liq...
This work studies seasonal time series models with application to lake level and weather data. The t...
This study discusses the application of ARIMA models in weather forecasting. A seasonal ARIMA model ...