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/453400/7421821
sas func9.sas
options nodate nonumber;
title 'Sample statistics functions';
data func9;
input x1-x5;
mean1=mean(of x1-x5); /* mean, average */
max1=max(of x1-x5,.); /* maximum */
min1=min(of x1-x5); /
www.eeworm.com/read/452217/7444957
c report.c
/*
* GENESIS Copyright (c) 1986, 1990 by John J. Grefenstette
* This program may be freely copied for educational
* and research purposes. All other rights reserved.
*
* file: report
www.eeworm.com/read/206731/7456639
c report.c
/*
* GENESIS Copyright (c) 1986, 1990 by John J. Grefenstette
* This program may be freely copied for educational
* and research purposes. All other rights reserved.
*
* file: report
www.eeworm.com/read/450608/7480107
m pcaklm.m
%PCAKLM Principal Component Analysis/Karhunen-Loeve Mapping
% (PCA or MCA of overall/mean covariance matrix)
%
% [W,FRAC] = PCAKLM(TYPE,A,N)
% [W,N] = PCAKLM(TYPE,A,FRAC)
%
% INPUT
% A
www.eeworm.com/read/450608/7480575
m klm.m
%KLM Karhunen-Loeve Mapping (PCA or MCA of mean covariance matrix)
%
% [W,FRAC] = KLM(A,N)
% [W,N] = KLM(A,FRAC)
%
% INPUT
% A Dataset
% N or FRAC Number of dimensions (>= 1) or fr
www.eeworm.com/read/449504/7501992
m beta_d.m
% PURPOSE: demo of beta distribution functions
% prints mean and variance of 1000 draws
% plots pdf,cdf,inverse
%
%---------------------------------------------------
% USAGE:
www.eeworm.com/read/441245/7672937
m var.m
%VAR Dataset overload
%
% [V,U] = VAR(A,W)
%
% Computes variance V and mean U in a single run for consistency with datafile overload.
www.eeworm.com/read/441245/7673402
m klm.m
%KLM Karhunen-Loeve Mapping (PCA or MCA of mean covariance matrix)
%
% [W,FRAC] = KLM(A,N)
% [W,N] = KLM(A,FRAC)
%
% INPUT
% A Dataset
% N or FRAC Number of dimensions (>= 1) or fr
www.eeworm.com/read/439462/7708306
m lsar.m
function [a,sig2]=lsar(y,n)
%
% The Least-Squares AR method (the covariance method)
% given by equation (3.4.14) with N1=n+1 and N2=N.
%
% call [a,sig2]=lsar(y,n);
%
% y -> the data ve
www.eeworm.com/read/439462/7708307
m yulewalker.m
function [a,sig2]=yulewalker(y,n)
%
% The Yule-Walker method for AR spectral estimation, given
% by equation (3.4.2).
%
% [a,sig2]=yulewalker(y,n);
%
% y -> the data vector
% n