代码搜索：Variance
找到约 2,271 项符合「Variance」的源代码
代码结果 2,271
www.eeworm.com/read/409299/2234984
svn-base dualmaxsparsevariance2.m.svn-base
function b = dualMaxSparseVariance2(K, Kj, Y, Yj, kernelCols)
%A function to compute the maximum sparse variance vector between matrix
%K and vector y
%We just use the example with the highest abso
www.eeworm.com/read/334240/12615905
rd anova.mix.rd
\name{anova.mix}
\alias{anova.mix}
\title{ANOVA Tables for Mixture Model Objects}
\description{
Compute analysis of variance tables for one or two mixture model objects.
}
\usage{
\method
www.eeworm.com/read/201792/15396411
m orthexpanalysis4.m
function OrthExpAnalysis4
% 正交试验的方差分析Variance Analysis of Orthogonal experiment
%
% Author: HUANG Huajiang
% Copyright 2003 UNILAB Research Center,
% East China University of Science and T
www.eeworm.com/read/201792/15396415
m orthexpanalysis3.m
function OrthExpAnalysis3
% 正交试验的方差分析Variance Analysis of Orthogonal experiment
%
% Author: HUANG Huajiang
% Copyright 2003 UNILAB Research Center,
% East China University of Science and T
www.eeworm.com/read/237137/4631651
m intf_sigma_1.m
function [x_intf, x_sigma,x_mean,x_variance]=Intf_Sigma_1(x_rake,rou1,rou2,noise_var,x_mean0,x_variance0,Tmp_h11,Tmp_h12,Tmp_h21,Tmp_h22,SubslotData_length,Path_number);
% Gray coded 16-QAM mappi
www.eeworm.com/read/237137/4631669
m intf_sigma_2.m
function [x_intf, x_sigma,x_mean,x_variance]=Intf_Sigma_2(x_rake,rou1,rou2,noise_var,x_mean0,x_variance0,Tmp_h11,Tmp_h12,Tmp_h21,Tmp_h22,SubslotData_length,Path_number);
% Gray coded 16-QAM mappi
www.eeworm.com/read/288479/8629955
m test2n.m
function [pval, cimean, cisigma] = test2n(x,y,cl)
%TEST2N Tests and confidence intervals based on two normal samples
% with common variance.
%
% [pval, cidiffmean, cisigma]
www.eeworm.com/read/288303/8644212
m noisecu.m
function noise=noisecu(N);
%NOISECU Analytic complex uniform white noise.
% NOISE=NOISECU(N) computes an analytic complex white uniform
% noise of length N with mean 0.0 and variance 1.0.
%
% Exampl
www.eeworm.com/read/431671/8662594
m noisecu.m
function noise=noisecu(N);
%NOISECU Analytic complex uniform white noise.
% NOISE=NOISECU(N) computes an analytic complex white uniform
% noise of length N with mean 0.0 and variance 1.0.
%
% Exampl
www.eeworm.com/read/429797/8788340
m allstats.m
function s=allstats(x,dim,flag,p)
% ALLSTATS All Common Statistics.
% S = ALLSTATS(X,DIM,Flag) returns common statistics of the data in X along
% the dimension DIM, with the variance type specified