G01HBF
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Computes probabilities for the multivariate Normal distribution |
G05LZF
|
Generates a vector of random numbers from a multivariate Normal distribution, seeds and generator number passed explicitly
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G05PCF
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Generates a realisation of a multivariate time series from a VARMA model
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G13BAF
|
Multivariate time series, filtering (pre-whitening) by an ARIMA model |
G13BBF
|
Multivariate time series, filtering by a transfer function model |
G13BCF
|
Multivariate time series, cross-correlations |
G13BDF
|
Multivariate time series, preliminary estimation of transfer function model |
G13BEF
|
Multivariate time series, estimation of multi-input model |
G13BGF
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Multivariate time series, update state set for forecasting from multi-input model |
G13BHF
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Multivariate time series, forecasting from state set of multi-input model |
G13BJF
|
Multivariate time series, state set and forecasts from fully specified multi-input model |
G13CCF
|
Multivariate time series, smoothed sample cross spectrum using rectangular, Bartlett, Tukey or Parzen lag window |
G13CDF
|
Multivariate time series, smoothed sample cross spectrum using spectral smoothing by the trapezium frequency (Daniell) window |
G13CEF
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Multivariate time series, cross amplitude spectrum, squared coherency, bounds, univariate and bivariate (cross) spectra |
G13CFF
|
Multivariate time series, gain, phase, bounds, univariate and bivariate (cross) spectra |
G13CGF
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Multivariate time series, noise spectrum, bounds, impulse response function and its standard error |
G13DBF
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Multivariate time series, multiple squared partial autocorrelations |
G13DCF
|
Multivariate time series, estimation of VARMA model |
G13DJF
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Multivariate time series, forecasts and their standard errors |
G13DKF
|
Multivariate time series, updates forecasts and their standard errors |
G13DLF
|
Multivariate time series, differences and/or transforms (for use before G13DCF)
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G13DMF
|
Multivariate time series, sample cross-correlation or cross-covariance matrices
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G13DNF
|
Multivariate time series, sample partial lag correlation matrices, χ2 statistics and significance levels |
G13DPF
|
Multivariate time series, partial autoregression matrices
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G13DSF
|
Multivariate time series, diagnostic checking of residuals, following G13DCF |