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