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