代码搜索：ESTIMATION
找到约 3,786 项符合「ESTIMATION」的源代码
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www.eeworm.com/read/449504/7502760
m tarch.m
function [parameters, likelihood, ht, stderrors, robustSE, scores] = tarch(data , p , o, q , type, startingvals, options)
% PURPOSE:
% TARCH(P,O,Q) parameter estimation with normal innovations
www.eeworm.com/read/449504/7502819
html contents.html
Spatial econometrics functions library
[Return to Master Index]
-------- spatial error model estimation
www.eeworm.com/read/449504/7502971
html contents.html
Spatial econometrics functions library
[Return to Master Index]
-------- spatial Durbin model estimation
www.eeworm.com/read/442551/7649416
m cp0803_rakeselector.m
% FUNCTION 8.11 : "cp0803_rakeselector"
%
% Simulates channel estimation for a discrete-time channel
% impulse response 'hf' with time resolution 'ts' in
% seconds. In addition, the function eva
www.eeworm.com/read/442535/7649794
m cp0803_rakeselector.m
% FUNCTION 8.11 : "cp0803_rakeselector"
%
% Simulates channel estimation for a discrete-time channel
% impulse response 'hf' with time resolution 'ts' in
% seconds. In addition, the function eva
www.eeworm.com/read/441609/7668414
m cp0803_rakeselector.m
% FUNCTION 8.11 : "cp0803_rakeselector"
%
% Simulates channel estimation for a discrete-time channel
% impulse response 'hf' with time resolution 'ts' in
% seconds. In addition, the function eva
www.eeworm.com/read/441609/7668416
asv cp0803_rakeselector.asv
% FUNCTION 8.11 : "cp0803_rakeselector"
%
% Simulates channel estimation for a discrete-time channel
% impulse response 'hf' with time resolution 'ts' in
% seconds. In addition, the function eva
www.eeworm.com/read/441397/7671069
m lev.m
%LEV Least squares estimation of heights in a levelling
% network as described by the following 3 data files:
%
% levfix.dat, contains row-wise 2 columns
% point# elevation
%
%
www.eeworm.com/read/437944/7739091
m matul.m
function [hest] = matul (bisp)
%MATUL Impulse response estimation using Matsuoka-Ulrych algorithm
% hest = matul(bisp)
% bisp - the estimated bispectrum
% (e.g., as computed by bispecd or
www.eeworm.com/read/198546/7929032
m tarch.m
function [parameters, likelihood, ht, stderrors, robustSE, scores] = tarch(data , p , o, q , type, startingvals, options)
% PURPOSE:
% TARCH(P,O,Q) parameter estimation with normal innovations