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