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