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/449504/7502824
m f2_sarpanel.m
function llike = f2_sarpanel(parm,y,x,W,detval,T)
% PURPOSE: evaluates log-likelihood -- given ML estimates
% spatial panel autoregressive model using sparse matrix algorithms
% ------------------
www.eeworm.com/read/449504/7502832
m f2_sempanel.m
function llike = f2_sempanel(parm,y,x,W,detval,T)
% PURPOSE: evaluates log-likelihood -- given ML parameters
% spatial panel error model using sparse matrix algorithms
% --------------------------
www.eeworm.com/read/449504/7503064
m sar_gd.m
% PURPOSE: An example of using sar_g() Gibbs sampling
% spatial autoregressive model
% (on a small data set)
%---------------------------------------------------
www.eeworm.com/read/449504/7503077
m f2_sar.m
function llike = f2_sar(parm,y,x,W,detval)
% PURPOSE: evaluates log-likelihood -- given ML estimates
% spatial autoregressive model using sparse matrix algorithms
% -------------------------------
www.eeworm.com/read/440842/7680259
m tobit_g.m
function results = tobit_g(y,x,ndraw,nomit,prior,start)
% PURPOSE: MCMC sampler for Bayesian Tobit model
% y = X B + E, E = N(0,sige*V),
% V = diag(v1,v2,...vn), r/vi = ID chi
www.eeworm.com/read/440842/7680297
m ar_g.m
function results = ar_g(y,nlag,ndraw,nomit,prior,start)
% PURPOSE: MCMC estimates Bayesian heteroscedastic AR(k) model
% imposing stability restrictions using Gibbs sampling
% y
www.eeworm.com/read/436588/7767147
m f2_sarpanel.m
function llike = f2_sarpanel(parm,y,x,W,detval,T)
% PURPOSE: evaluates log-likelihood -- given ML estimates
% spatial panel autoregressive model using sparse matrix algorithms
% ------------------
www.eeworm.com/read/436588/7767153
m f2_sempanel.m
function llike = f2_sempanel(parm,y,x,W,detval,T)
% PURPOSE: evaluates log-likelihood -- given ML parameters
% spatial panel error model using sparse matrix algorithms
% --------------------------
www.eeworm.com/read/317500/13504149
m generate_datas_oil.m
%%%---------------- generate_datas_oil_tristan.m----------------%%
%%% Program to generate the datas to two factor model based in the estimated parameters from
%%% Schartz- Smith oil future prices.
www.eeworm.com/read/492929/6414155
m tobit_g.m
function results = tobit_g(y,x,ndraw,nomit,prior,start)
% PURPOSE: MCMC sampler for Bayesian Tobit model
% y = X B + E, E = N(0,sige*V),
% V = diag(v1,v2,...vn), r/vi = ID chi