代码搜索：Variance

找到约 2,271 项符合「Variance」的源代码

代码结果 2,271
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m trimmedmse.m

function [cost,retained] = trimmedmse(R,beta,V); % Calculate trimmed mean of the squared value of the residuals. % % cost = trimmedmse(R); % % The factor where one trimms off the normed residuals is
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www.eeworm.com/read/427586/8931923

m trimmedmse.m

function [cost,retained] = trimmedmse(R,beta,V); % Calculate trimmed mean of the squared value of the residuals. % % cost = trimmedmse(R); % % The factor where one trimms off the normed residuals is
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www.eeworm.com/read/183445/9158630

m trimmedmse.m

function [cost,retained] = trimmedmse(R,beta,V); % Calculate trimmed mean of the squared value of the residuals. % % cost = trimmedmse(R); % % The factor where one trimms off the normed residuals is
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www.eeworm.com/read/374698/9388825

m trimmedmse.m

function [cost,retained] = trimmedmse(R,beta,V); % Calculate trimmed mean of the squared value of the residuals. % % cost = trimmedmse(R); % % The factor where one trimms off the normed residuals is
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www.eeworm.com/read/360895/10072651

m trimmedmse.m

function [cost,retained] = trimmedmse(R,beta,V); % Calculate trimmed mean of the squared value of the residuals. % % cost = trimmedmse(R); % % The factor where one trimms off the normed residuals is
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www.eeworm.com/read/278889/10490457

m trimmedmse.m

function [cost,retained] = trimmedmse(R,beta,V); % Calculate trimmed mean of the squared value of the residuals. % % cost = trimmedmse(R); % % The factor where one trimms off the normed residuals is
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www.eeworm.com/read/421949/10676031

m trimmedmse.m

function [cost,retained] = trimmedmse(R,beta,V); % Calculate trimmed mean of the squared value of the residuals. % % cost = trimmedmse(R); % % The factor where one trimms off the normed residuals is
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www.eeworm.com/read/420575/10788641

m minque.m

function d0=minque(B,L,T,d0) % variance-ccovariance estimation based on MINQUE % E(L)=B*X % e=d1*T1+d2*T2+...+d3*T3; b=size(T); m=b(length(b));%subtract the number of variance components TT=zer
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www.eeworm.com/read/420575/10788645

asv minque.asv

function d0=minque(B,L,T,d0) %variance-ccovariance estimation based on MINQUE %E(L)=B*X % e=d1*T1+d2*T2+...+d3*T3 b=size(T); m=b(length(b));%subtract the number of variance components TT=zeros(
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www.eeworm.com/read/420575/10788648

m minqe.m

function d0=minqe(B,L,T,d0) %variance-ccovariance estimation based on MINQUE b=size(T); m=b(length(b));%subtract the number of variance components TT=zeros(length(L)); d=d0; while 1 %for t=1:2
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