Univariate time series, parameter estimation for an asymmetric Glosten, Jagannathan and Runkle (GJR) GARCH process. Classes : L10a2 . Time domain time series analysis Type : C subroutine in NAGC library (G13 sublibrary). Access : Proprietary. Many implementations available. Precision: Double. Note : This procedure may also be invoked using the name g13fec. Usage : void nag_estimate_garchGJR (const double yt[], const double x[], Integer tdx, Integer num, Integer p, Integer q, Integer nreg, Integer mn, double theta[], double se[], double sc[], double covar[], Integer tdc, double *hp, double et[], double ht[], double *lgf, Nag_Garch_Stationary_Type stat_opt, Nag_Garch_Est_Initial_Type est_opt, Integer max_iter, double tol, NagError *fail) Details : Documentation Example Example-output Local-details Sites : (1) ITL
ITL: Unix Workstation Network, National Institute of Standards and Technology (NIST), Gaithersburg, MD. Available to NIST staff. Precision: Double. Note : This procedure may also be invoked using the name g13fec. Access available only to NIST staff on internal Unix systems. They may access this package provided the /itl tree is cross-mounted. Link : cc -I/itl/links/generic/include -o prog prog.c -L/itl/links/generic/{lib lib32 lib64}{/mips3 /mips4} -lnagc -lm Local-details: cat /itl/apps/nagclib-6/docs/implementation Example : cat /itl/apps/nagclib-6/clsol06da/examples/source/g13fece.c Example-outpu: cat /itl/apps/nagclib-6/clsol06da/examples/results/g13fece.r Documentation: acroread /itl/apps/nagclib-6/docs/NAGdoc/cl/pdf/G13/g13fec_cl06.pdf
GAMS is a service of the Mathematical and Computational Sciences Division of the Information Technology Laboratory of the National Institute of Standards and Technology
This page was generated on Sat Sep 20, 2008 at 04:52:38 UTC