There is strong appeal in using a forecasting method that is able to capture both seasonalities. The multiplicative seasonal ARIMA model has been adapted for this purpose. In this paper, we adapt the Holt–Winters exponential smoothing formulation so that it can accommodate two seasonalities. We ...
Forecasting of Tourist Arrivals Using Subset, Multiplicative or Additive Seasonal ARIMA Model Most of Seasonal Autoregressive Integrated Moving Average (SARIMA) models that used for forecasting seasonal time series are multiplicative SARIMA models. These models assume that there is a significant parameter as...
Considering the analysis of the deformation characteristics above, the total displacement of the Baijiabao landslide was governed by the RWL and seasonal rainfall. Figure 13 demonstrates that the periodic displacement decreases or increases when the RWL is rising or falling. However, the pace does ...
response were also significantly improved by intake of the experimental diet. In conclusion, the IJH-SONE68-derived EPS improves chronic allergy status in humans and is expected to decrease their inconvenience. Keywords: Lactobacillus paracasei;chronic allergy;clinical trial;plant-derived lactic acid ...
traditional statistical methods are often applied, including some conventional forecasting methods, such as regression method [11], exponential smoothing [12], Autoregressive Moving Average Model (ARMA) [13], Autoregressive Integrated Moving Average (ARIMA) [14,15], seasonal ARIMA [16], grey forecasti...
traditional statistical methods are often applied, including some conventional forecasting methods, such as regression method [11], exponential smoothing [12], Autoregressive Moving Average Model (ARMA) [13], Autoregressive Integrated Moving Average (ARIMA) [14,15], seasonal ARIMA [16], grey forecasti...