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 neweywest1.m

function omegahat = neweywest1(Z,nlags) % Returns the Newey-West estimator of the asymptotic variance matrix % INPUTS: Z, a nxk matrix with rows the vector zt' % nlags, the number of lags
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www.eeworm.com/read/172354/9712717

m sigma_tr.m

%SIGMA_TR Application of Variance propagation. % The data are taken from Example 9.2 in % Kai Borre (1995): GPS i landmaalingen %Written by Kai Borre %Copyright (c) by Kai Borre
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www.eeworm.com/read/172354/9712830

m sigma_tr.m

%SIGMA_TR Application of Variance propagation. % The data are taken from Example 9.2 in % Kai Borre (1995): GPS i landmaalingen %Written by Kai Borre %Copyright (c) by Kai Borre
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www.eeworm.com/read/204456/15339365

m pca_dd.m

%PCA_DD Principal Component data description % % W = PCA_DD(A,FRACREJ,N) % % Traininig of a PCA, with N features (or explaining a fraction N of % the variance). % % Default: N=0.9 % Copyright:
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www.eeworm.com/read/201006/15418407

m estimatemeanvars.m

function [m_x, v_x] = estimatemeanvars(x, mprior, vprior, v_x0, dim) % ESTIMATEMEANVARS Estimate parameters for variables with nonzero % mean and variance % % ESTIMATEMEANVARS ca
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www.eeworm.com/read/200886/15420690

m lognormpdfvar.m

% function logp = lognormpdfVar(val,myMu,var) % % returns the log(normalpdf), efficiently, in 1D, given the variance % % **NOT THE LOG-NORMAL, but log(N(val|myMu,var)) % % if val is a vector, then the
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www.eeworm.com/read/200388/15434322

c ivar.c

/* ivar.c * * Fast region variance/kurtosis/skewness for images * * IMM = IVAR(IM, SE, OP [, EDGE]) * * where SE is the structuring element * OP is 'var', 'kurt', 'skew' * EDGE is 'border',
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www.eeworm.com/read/106690/15626699

m eeg_pvaf.m

% eeg_pvaf() - Compute EEG.data 'percent variance accounted for' (pvaf) by specified components. % Can omit specified components and channels from the computation. Can draw a plot %
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www.eeworm.com/read/384289/8881711

m decorrel.m

function [Q,Z,L,D,z] = decorrel (Q,a); %DECORREL: Decorrelate a (co)variance matrix of ambiguities % % This routine creates a decorrelated Q-matrix, by finding the % Z-matrix and performing the corres
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www.eeworm.com/read/384289/8881713

m ldldecom.m

function [L,D] = ldldecom(Q) %LDLDECOM: Find LtDL-decompostion of Q-matrix % % This routine finds the LtDL decomposition of a given variance/ % covariance matrix. % % Input arguments: % Q: Symmetri
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