Day: December 28, 2019

Time Series Forecasting in R – Seasonal ARIMA model using lynx dataset

Time Series Forecasting in R – Seasonal ARIMA model using lynx dataset     Seasonal ARIMA (SARIMA) is a method for time series forecasting that is particularly well-suited for data that exhibit both a trend and a seasonality pattern, such as regular fluctuations that occur at specific time intervals. The SARIMA model is an extension …

Time Series Forecasting in R – Seasonal Random Walk model using lynx dataset

Time Series Forecasting in R – Seasonal Random Walk model using lynx dataset     Seasonal Random Walk (SRW) is a method for time series forecasting that is particularly well-suited for data that exhibit a strong seasonality pattern, such as regular fluctuations that occur at specific time intervals. The SRW model assumes that the future …

Time Series Forecasting in R – Auto ARIMA model using lynx dataset

Time Series Forecasting in R – Auto ARIMA model using lynx dataset   Auto ARIMA is a method for time series forecasting that automatically selects the best parameters for an ARIMA model, which stands for Auto-Regressive Integrated Moving Average. ARIMA models are a commonly used method for time series forecasting and are particularly well-suited for …