One-step in-sample forecasts using ARIMA models
Double-Seasonal Holt-Winters Forecasting
Forecasting using ETS models
Moving-average smoothing
Fit a fractionally differenced ARFIMA model
Half-hourly electricity demand
Number of differences required for a stationary series
Subsetting a time series
Forecasting using ARIMA or ARFIMA models
Forecast plot
Australian total wine sales
Forecasting time series
Fit ARIMA model to univariate time series
Log-Likelihood of an ets object
Daily morning gold prices
Forecasting using BATS and TBATS models
Plot components from BATS model
Seasonal dummy variables
Simulation from a time series model
Forecast seasonal index
Automatic selection of Box Cox transformation parameter
Forecasts for intermittent demand using Croston's method
(Partial) Autocorrelation Function Estimation
Diebold-Mariano test for predictive accuracy
Box Cox Transformation
Seasonal adjustment
Fit a linear model with time series components
TBATS model (Exponential smoothing state space model with Box-Cox transformation, ARMA errors, Trend and Seasonal components)
Quarterly production of woollen yarn in Australia
Exponential smoothing state space model
ARIMA errors
Forecasting using stl objects
Exponential smoothing forecasts
Number of days in each season
Multi-Seasonal Time Series
Cross-validation statistic
Accuracy measures for forecast model
Forecasting using Structural Time Series models
Plot components from ETS model
Random Walk Forecast
BATS model (Exponential smoothing state space model with Box-Cox transformation, ARMA errors, Trend and Seasonal components)
Australian monthly gas production
Mean Forecast
Neural Network Time Series Forecasts
Seasonal plot
Fit best ARIMA model to univariate time series
Naive forecasts
Theta method forecast
Interpolate missing values in a time series
Forecasting using Holt-Winters objects
Forecast a linear model with possible time series components
Time series display
Cubic Spline Forecast