代码搜索：SiGe HBT
找到约 79 项符合「SiGe HBT」的源代码
代码结果 79
www.eeworm.com/read/449504/7502990
m sem_gmmd3.m
% PURPOSE: A Monte Carlo comparison of sem_gmm and ML sem
% GM estimation of the spatial error model
% in a Monte Carlo experiment that compares maximum likelihood
% and GM estimation
%---------
www.eeworm.com/read/449504/7502994
m sar_mcarlo.m
% PURPOSE: A Monte Carlo comparison of GMM sem and ML sem
% estimation of the spatial error model
% in a Monte Carlo experiment that compares maximum likelihood and GMM estimation
%--------------
www.eeworm.com/read/449504/7502995
m sem_mcarlo.m
% PURPOSE: A Monte Carlo comparison of GMM sem and ML sem
% estimation of the spatial error model
% in a Monte Carlo experiment that compares maximum likelihood and GMM estimation
%--------------
www.eeworm.com/read/449504/7503001
m sar_gmm.m
function results=sar_gmm(y,x,W)
% PURPOSE: computes Generalized Moments Estimates for Spatial Autoregressive Model
% y = rho*W*y + XB + e
% -----------------------------------------------
www.eeworm.com/read/449504/7503010
m bcasetti.m
function results=bcasetti(y,x,xc,yc,ndraw,nomit,option)
% PURPOSE: computes a heteroscedastic Bayesian variant of Casetti's spatial expansion regression
% y = X*g + e, e = N(0,sige*V)
%
www.eeworm.com/read/449504/7503058
m sar_gd4.m
% PURPOSE: An example of using priors with sar_g() Gibbs sampling
% spatial autoregressive model (on a small data set)
%---------------------------------------------------
www.eeworm.com/read/449504/7503084
m sar_gv.m
function results = sar_gv(y,x,W,ndraw,nomit,prior)
% PURPOSE: Bayesian estimates of the spatial autoregressive model
% THIS FUNCTION: estimates the heteroscedasticity parameter r
% a
www.eeworm.com/read/449504/7503089
m sarp_g.m
function results = sarp_g(y,x,W,ndraw,nomit,prior)
% PURPOSE: Bayesian estimates of the spatial autoregressive probit model
% y = rho*W*y + XB + e, e = N(0,I),
% B = N(c,T),
%
www.eeworm.com/read/440842/7680262
m ridge.m
function results = ridge(y,x,theta)
% PURPOSE: computes Hoerl-Kennard Ridge Regression
%---------------------------------------------------
% USAGE: results = ridge(y,x,theta)
% where: y = depende
www.eeworm.com/read/492929/6414159
m ridge.m
function results = ridge(y,x,theta)
% PURPOSE: computes Hoerl-Kennard Ridge Regression
%---------------------------------------------------
% USAGE: results = ridge(y,x,theta)
% where: y = depende