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/179705/9342104
out stat.out
The dataset is 17.2, 18.1, 16.5, 18.3, 12.6
The sample mean is 16.54
The estimated variance is 4.2984
The largest value is 18.3
The smallest value is 12.6
www.eeworm.com/read/375500/9358474
h bfagent.h
// Interface for BFagent -- Classifier predictors
#import "Agent.h"
#import "BFParams.h"
#import "BFCast.h"
#import
#import "World.h"
//pj: // Structure for list of indiv
www.eeworm.com/read/374411/9407060
m covar.m
function cov = covar(dens,noBiasFlag)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% covar(dens [,noBiasFlag]) -- returns the variance of a given KDE
%
% if noBi
www.eeworm.com/read/374411/9407116
cpp prodsamplegibbs.cpp
///////////////////////////////////////////////////////
// Functions for single-scale gibbs samplers
//
///////////////////////////////////////////////////////
//
// Written by Alex Ihler and Mik
www.eeworm.com/read/374411/9407134
cpp prodsamplegibbsms.cpp
///////////////////////////////////////////////////////
// Functions for single-scale gibbs samplers
//
///////////////////////////////////////////////////////
//
// Written by Alex Ihler and Mik
www.eeworm.com/read/177981/9424515
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/373081/9475745
m var.m
function y = var(x)
%VAR Variance.
% For vectors, VAR(x) returns the sample variance.
% For matrices, VAR(X)is a row vector containing the sample
% variance of each column. The variance is the
www.eeworm.com/read/176804/9483918
m bootstrap.m
function [x,q] = bootstrap(actualx,y,R,Q,initVar,numSamples);
% PURPOSE : This m file performs the bootstrap algorithm (a.k.a. SIR,
% particle filter, etc.) for the model specified in the
%
www.eeworm.com/read/364310/9912851
m fig9_28.m
clear all
npts = 2000;
del = 1/2000;
t = 0:del:1;
inp = (1+.2 .* t + .1 .*t.^2) + cos(2. * pi * 2.5 .* t);
X0 = [1,.1,.01]';
% it is assumed that the measurement vector H=[1,0,0]
% this is the
www.eeworm.com/read/364310/9912916
m fig9_27.m
clear all
npts = 2000;
del = 1/2000;
t = 0:del:1;
inp = (1+.2 .* t + .1 .*t.^2);% + cos(2. * pi * 2.5 .* t);
X0 = [1,.1,.01]';
% it is assumed that the measurmeny vector H=[1,0,0]
% this is the