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