代码搜索：ESTIMATION
找到约 3,786 项符合「ESTIMATION」的源代码
代码结果 3,786
www.eeworm.com/read/291067/6303036
m eetimeend.m
function eeTimeVarOut = eetimeend(eeTimeVarIn)
%EETIMEEND End estimation of execution time.
%
%--------
%Synopsis:
% eeTimeVarOut = eetimeend(eeTimeVarIn)
%
%Description:
% End estimation of execut
www.eeworm.com/read/343859/3215626
m eetimeend.m
function eeTimeVarOut = eetimeend(eeTimeVarIn)
%EETIMEEND End estimation of execution time.
%
%--------
%Synopsis:
% eeTimeVarOut = eetimeend(eeTimeVarIn)
%
%Description:
% End estimation of execut
www.eeworm.com/read/291067/6303016
m eetimebegin.m
function eeTimeVarOut = eetimebegin
%EETIMEBEGIN Begin estimation of execution time.
%
%--------
%Synopsis:
% eeTimeVarOut = eetimebegin
%
%Description:
% Begin estimation of execution time.
% Thi
www.eeworm.com/read/343859/3215625
m eetimebegin.m
function eeTimeVarOut = eetimebegin
%EETIMEBEGIN Begin estimation of execution time.
%
%--------
%Synopsis:
% eeTimeVarOut = eetimebegin
%
%Description:
% Begin estimation of execution time.
% Thi
www.eeworm.com/read/11139/202503
txt tep124.txt
============================================================================
The Link Estimation Exchange Protocol (LEEP)
============================================================================
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/217116/14978286
m afc_est_init.m
%AFC estimation
AFC_DELTA = 0.2/256;
AFC_ADJUST_A1 = 0.06/0.9;
AFC_B0_N = 1.0-(0.96*0.96);
AFC_A_2 = -(0.96*0.96);
AFC_R_ZERO = 0.96;
AF
www.eeworm.com/read/422591/10626913
r psins.r
#############################################################################
## Estimation of psi_r for normal scales
#############################################################################
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
%---------