g01hbc

Computes probabilities for the multivariate Normal distribution 
g05pjc

Generates a realization of a multivariate time series from a VARMA model 
g05ryc

Generates a matrix of pseudorandom numbers from a multivariate Student's tdistribution

g05rzc

Generates a matrix of pseudorandom numbers from a multivariate Normal distribution 
g13bac

Multivariate time series, filtering (prewhitening) by an ARIMA model 
g13bbc

Multivariate time series, filtering by a transfer function model 
g13bcc

Multivariate time series, crosscorrelations 
g13bdc

Multivariate time series, preliminary estimation of transfer function model 
g13bgc

Multivariate time series, update state set for forecasting from multiinput model 
g13ccc

Multivariate time series, smoothed sample cross spectrum using rectangular, Bartlett, Tukey or Parzen lag window 
g13cdc

Multivariate time series, smoothed sample cross spectrum using spectral smoothing by the trapezium frequency (Daniell) window 
g13cec

Multivariate time series, cross amplitude spectrum, squared coherency, bounds, univariate and bivariate (cross) spectra 
g13cfc

Multivariate time series, gain, phase, bounds, univariate and bivariate (cross) spectra 
g13cgc

Multivariate time series, noise spectrum, bounds, impulse response function and its standard error 
g13dbc

Multivariate time series, multiple squared partial autocorrelations 
g13ddc

Multivariate time series, estimation of VARMA model 
g13djc

Multivariate time series, forecasts and their standard errors 
g13dkc

Multivariate time series, updates forecasts and their standard errors 
g13dlc

Multivariate time series, differences and/or transforms 
g13dmc

Multivariate time series, sample crosscorrelation or crosscovariance matrices 
g13dnc

Multivariate time series, sample partial lag correlation matrices, χ^{2} statistics and significance levels

g13dpc

Multivariate time series, partial autoregression matrices 
g13dsc

Multivariate time series, diagnostic checking of residuals, following g13ddc 