G13 Chapter Contents (PDF version)
G13 Chapter Introduction
NAG Library Manual

NAG Library Chapter Contents

G13 – Time Series Analysis

G13 Chapter Introduction

Routine
Name
Mark of
Introduction

Purpose
G13AAF
Example Text
Example Data
9 nagf_tsa_uni_diff
Univariate time series, seasonal and non-seasonal differencing
G13ABF
Example Text
Example Data
9 nagf_tsa_uni_autocorr
Univariate time series, sample autocorrelation function
G13ACF
Example Text
Example Data
9 nagf_tsa_uni_autocorr_part
Univariate time series, partial autocorrelations from autocorrelations
G13ADF
Example Text
Example Data
9 nagf_tsa_uni_arima_prelim
Univariate time series, preliminary estimation, seasonal ARIMA model
G13AEF
Example Text
Example Data
9 nagf_tsa_uni_arima_estim
Univariate time series, estimation, seasonal ARIMA model (comprehensive)
G13AFF
Example Text
Example Data
9 nagf_tsa_uni_arima_estim_easy
Univariate time series, estimation, seasonal ARIMA model (easy-to-use)
G13AGF
Example Text
Example Data
9 nagf_tsa_uni_arima_update
Univariate time series, update state set for forecasting
G13AHF
Example Text
Example Data
9 nagf_tsa_uni_arima_forecast_state
Univariate time series, forecasting from state set
G13AJF
Example Text
Example Data
10 nagf_tsa_uni_arima_forcecast
Univariate time series, state set and forecasts, from fully specified seasonal ARIMA model
G13AMF
Example Text
Example Data
22 nagf_tsa_uni_smooth_exp
Univariate time series, exponential smoothing
G13ASF
Example Text
Example Data
13 nagf_tsa_uni_arima_resid
Univariate time series, diagnostic checking of residuals, following G13AEF or G13AFF
G13AUF
Example Text
Example Data
14 nagf_tsa_uni_means
Computes quantities needed for range-mean or standard deviation-mean plot
G13BAF
Example Text
Example Data
10 nagf_tsa_multi_filter_arima
Multivariate time series, filtering (pre-whitening) by an ARIMA model
G13BBF
Example Text
Example Data
11 nagf_tsa_multi_filter_transf
Multivariate time series, filtering by a transfer function model
G13BCF
Example Text
Example Data
10 nagf_tsa_multi_xcorr
Multivariate time series, cross-correlations
G13BDF
Example Text
Example Data
11 nagf_tsa_multi_transf_prelim
Multivariate time series, preliminary estimation of transfer function model
G13BEF
Example Text
Example Data
11 nagf_tsa_multi_inputmod_estim
Multivariate time series, estimation of multi-input model
G13BGF
Example Text
Example Data
11 nagf_tsa_multi_inputmod_update
Multivariate time series, update state set for forecasting from multi-input model
G13BHF
Example Text
Example Data
11 nagf_tsa_multi_inputmod_forecast_state
Multivariate time series, forecasting from state set of multi-input model
G13BJF
Example Text
Example Data
11 nagf_tsa_multi_inputmod_forecast
Multivariate time series, state set and forecasts from fully specified multi-input model
G13CAF
Example Text
Example Data
10 nagf_tsa_uni_spectrum_lag
Univariate time series, smoothed sample spectrum using rectangular, Bartlett, Tukey or Parzen lag window
G13CBF
Example Text
Example Data
10 nagf_tsa_uni_spectrum_daniell
Univariate time series, smoothed sample spectrum using spectral smoothing by the trapezium frequency (Daniell) window
G13CCF
Example Text
Example Data
10 nagf_tsa_multi_spectrum_lag
Multivariate time series, smoothed sample cross spectrum using rectangular, Bartlett, Tukey or Parzen lag window
G13CDF
Example Text
Example Data
10 nagf_tsa_multi_spectrum_daniell
Multivariate time series, smoothed sample cross spectrum using spectral smoothing by the trapezium frequency (Daniell) window
G13CEF
Example Text
Example Data
10 nagf_tsa_multi_spectrum_bivar
Multivariate time series, cross amplitude spectrum, squared coherency, bounds, univariate and bivariate (cross) spectra
G13CFF
Example Text
Example Data
10 nagf_tsa_multi_gain_bivar
Multivariate time series, gain, phase, bounds, univariate and bivariate (cross) spectra
G13CGF
Example Text
Example Data
10 nagf_tsa_multi_noise_bivar
Multivariate time series, noise spectrum, bounds, impulse response function and its standard error
G13DBF
Example Text
Example Data
11 nagf_tsa_multi_autocorr_part
Multivariate time series, multiple squared partial autocorrelations
G13DDF
Example Text
Example Data
22 nagf_tsa_multi_varma_estimate
Multivariate time series, estimation of VARMA model
G13DJF
Example Text
Example Data
15 nagf_tsa_multi_varma_forecast
Multivariate time series, forecasts and their standard errors
G13DKF
Example Text
Example Data
15 nagf_tsa_multi_varma_update
Multivariate time series, updates forecasts and their standard errors
G13DLF
Example Text
Example Data
15 nagf_tsa_multi_diff
Multivariate time series, differences and/or transforms
G13DMF
Example Text
Example Data
15 nagf_tsa_multi_corrmat_cross
Multivariate time series, sample cross-correlation or cross-covariance matrices
G13DNF
Example Text
Example Data
15 nagf_tsa_multi_corrmat_partlag
Multivariate time series, sample partial lag correlation matrices, χ2 statistics and significance levels
G13DPF
Example Text
Example Data
16 nagf_tsa_multi_regmat_partial
Multivariate time series, partial autoregression matrices
G13DSF
Example Text
Example Data
13 nagf_tsa_multi_varma_diag
Multivariate time series, diagnostic checking of residuals, following G13DDF
G13DXF
Example Text
Example Data
15 nagf_tsa_uni_arma_roots
Calculates the zeros of a vector autoregressive (or moving average) operator
G13EAF
Example Text
Example Data
17 nagf_tsa_multi_kalman_sqrt_var
Combined measurement and time update, one iteration of Kalman filter, time-varying, square root covariance filter
G13EBF
Example Text
Example Data
17 nagf_tsa_multi_kalman_sqrt_invar
Combined measurement and time update, one iteration of Kalman filter, time-invariant, square root covariance filter
G13FAF
Example Text
Example Data
20 nagf_tsa_uni_garch_asym1_estim
Univariate time series, parameter estimation for either a symmetric GARCH process or a GARCH process with asymmetry of the form εt-1+γ2
G13FBF 20 nagf_tsa_uni_garch_asym1_forecast
Univariate time series, forecast function for either a symmetric GARCH process or a GARCH process with asymmetry of the form εt-1+γ2
G13FCF
Example Text
Example Data
20 nagf_tsa_uni_garch_asym2_estim
Univariate time series, parameter estimation for a GARCH process with asymmetry of the form εt-1+γεt-12
G13FDF 20 nagf_tsa_uni_garch_asym2_forecast
Univariate time series, forecast function for a GARCH process with asymmetry of the form εt-1+γεt-12
G13FEF
Example Text
Example Data
20 nagf_tsa_uni_garch_GJR_estim
Univariate time series, parameter estimation for an asymmetric Glosten, Jagannathan and Runkle (GJR) GARCH process
G13FFF 20 nagf_tsa_uni_garch_GJR_forecast
Univariate time series, forecast function for an asymmetric Glosten, Jagannathan and Runkle (GJR) GARCH process
G13FGF
Example Text
Example Data
20 nagf_tsa_uni_garch_exp_estim
Univariate time series, parameter estimation for an exponential GARCH (EGARCH) process
G13FHF 20 nagf_tsa_uni_garch_exp_forecast
Univariate time series, forecast function for an exponential GARCH (EGARCH) process
G13MEF
Example Text
Example Data
Example Plot
24 nagf_tsa_inhom_iema
Computes the iterated exponential moving average for a univariate inhomogeneous time series
G13MFF
Example Text
Example Data
24 nagf_tsa_inhom_iema_all
Computes the iterated exponential moving average for a univariate inhomogeneous time series, intermediate results are also returned
G13MGF
Example Text
Example Data
24 nagf_tsa_inhom_ma
Computes the exponential moving average for a univariate inhomogeneous time series

G13 Chapter Contents (PDF version)
G13 Chapter Introduction
NAG Library Manual

© The Numerical Algorithms Group Ltd, Oxford, UK. 2012