| Routine Name |
Mark of Introduction |
Purpose |
| G13AAF Example Text Example Data |
9 | Univariate time series, seasonal and non-seasonal differencing |
| G13ABF Example Text Example Data |
9 | Univariate time series, sample autocorrelation function |
| G13ACF Example Text Example Data |
9 | Univariate time series, partial autocorrelations from autocorrelations |
| G13ADF Example Text Example Data |
9 | Univariate time series, preliminary estimation, seasonal ARIMA model |
| G13AEF Example Text Example Data |
9 | Univariate time series, estimation, seasonal ARIMA model (comprehensive) |
| G13AFF Example Text Example Data |
9 | Univariate time series, estimation, seasonal ARIMA model (easy-to-use) |
| G13AGF Example Text Example Data |
9 | Univariate time series, update state set for forecasting |
| G13AHF Example Text Example Data |
9 | Univariate time series, forecasting from state set |
| G13AJF Example Text Example Data |
10 | Univariate time series, state set and forecasts, from fully specified seasonal ARIMA model |
| G13ASF Example Text Example Data |
13 | Univariate time series, diagnostic checking of residuals, following G13AEF or G13AFF |
| G13AUF Example Text Example Data |
14 | Computes quantities needed for range-mean or standard deviation-mean plot |
| G13BAF Example Text Example Data |
10 | Multivariate time series, filtering (pre-whitening) by an ARIMA model |
| G13BBF Example Text Example Data |
11 | Multivariate time series, filtering by a transfer function model |
| G13BCF Example Text Example Data |
10 | Multivariate time series, cross-correlations |
| G13BDF Example Text Example Data |
11 | Multivariate time series, preliminary estimation of transfer function model |
| G13BEF Example Text Example Data |
11 | Multivariate time series, estimation of multi-input model |
| G13BGF Example Text Example Data |
11 | Multivariate time series, update state set for forecasting from multi-input model |
| G13BHF Example Text Example Data |
11 | Multivariate time series, forecasting from state set of multi-input model |
| G13BJF Example Text Example Data |
11 | Multivariate time series, state set and forecasts from fully specified multi-input model |
| G13CAF Example Text Example Data |
10 | Univariate time series, smoothed sample spectrum using rectangular, Bartlett, Tukey or Parzen lag window |
| G13CBF Example Text Example Data |
10 | Univariate time series, smoothed sample spectrum using spectral smoothing by the trapezium frequency (Daniell) window |
| G13CCF Example Text Example Data |
10 | Multivariate time series, smoothed sample cross spectrum using rectangular, Bartlett, Tukey or Parzen lag window |
| G13CDF Example Text Example Data |
10 | Multivariate time series, smoothed sample cross spectrum using spectral smoothing by the trapezium frequency (Daniell) window |
| G13CEF Example Text Example Data |
10 | Multivariate time series, cross amplitude spectrum, squared coherency, bounds, univariate and bivariate (cross) spectra |
| G13CFF Example Text Example Data |
10 | Multivariate time series, gain, phase, bounds, univariate and bivariate (cross) spectra |
| G13CGF Example Text Example Data |
10 | Multivariate time series, noise spectrum, bounds, impulse response function and its standard error |
| G13DBF Example Text Example Data |
11 | Multivariate time series, multiple squared partial autocorrelations |
| G13DCF Example Text Example Data |
12 | Multivariate time series, estimation of VARMA model |
| G13DJF Example Text Example Data |
15 | Multivariate time series, forecasts and their standard errors |
| G13DKF Example Text Example Data |
15 | Multivariate time series, updates forecasts and their standard errors |
| G13DLF Example Text Example Data |
15 | Multivariate time series, differences and/or transforms |
| G13DMF Example Text Example Data |
15 | Multivariate time series, sample cross-correlation or cross-covariance matrices |
| G13DNF Example Text Example Data |
15 | Multivariate time series, sample partial lag correlation matrices, χ2 statistics and significance levels |
| G13DPF Example Text Example Data |
16 | Multivariate time series, partial autoregression matrices |
| G13DSF Example Text Example Data |
13 | Multivariate time series, diagnostic checking of residuals, following G13DCF |
| G13DXF Example Text Example Data |
15 | Calculates the zeros of a vector autoregressive (or moving average) operator |
| G13EAF Example Text Example Data |
17 | Combined measurement and time update, one iteration of Kalman filter, time-varying, square root covariance filter |
| G13EBF Example Text Example Data |
17 | Combined measurement and time update, one iteration of Kalman filter, time-invariant, square root covariance filter |
| G13FAF Example Text |
20 | Univariate time series, parameter estimation for either a symmetric GARCH process or a GARCH process with asymmetry of the form (εt-1+γ)2 |
| G13FBF | 20 | Univariate time series, forecast function for either a symmetric GARCH process or a GARCH process with asymmetry of the form (εt-1+γ)2 |
| G13FCF Example Text |
20 | Univariate time series, parameter estimation for a GARCH process with asymmetry of the form (|εt-1|+γεt-1)2 |
| G13FDF | 20 | Univariate time series, forecast function for a GARCH process with asymmetry of the form (|εt-1|+γεt-1)2 |
| G13FEF Example Text |
20 | Univariate time series, parameter estimation for an asymmetric Glosten, Jagannathan and Runkle (GJR) GARCH process |
| G13FFF | 20 | Univariate time series, forecast function for an asymmetric Glosten, Jagannathan and Runkle (GJR) GARCH process |
| G13FGF Example Text |
20 | Univariate time series, parameter estimation for an exponential GARCH (EGARCH) process |
| G13FHF | 20 | Univariate time series, forecast function for an exponential GARCH (EGARCH) process |