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