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/484011/6588869
conf ts.conf
module variance xlimit=50 ylimit=50 pthreshold=1
module dejitter xdelta=10 ydelta=10 pthreshold=1
module linear
www.eeworm.com/read/484011/6588939
conf ts.conf
module variance xlimit=50 ylimit=50 pthreshold=1
module dejitter xdelta=10 ydelta=10 pthreshold=1
module linear
www.eeworm.com/read/481728/6637462
c mrandom.c
#include
#include
#include
#include "msp.h"
float randnu(long *iseed)
{
float z;
*iseed=2045*(*iseed)+1;
*iseed=*iseed-(*iseed/1048576)*10
www.eeworm.com/read/479760/6687114
m awgn.m
%*************************************************************************************
% This function pertains to the addition of AWGN with mean zero and
% parameter 'variance' to
www.eeworm.com/read/410924/11264893
m mean_jackknife.m
function [mu, bias, varjack] = mean_jackknife(data)
%Find the estimate of the mean, it's bias and variance using the jackknife estimator method
%Inputs:
% data - The data from which to estimate
www.eeworm.com/read/410924/11264913
m mean_bootstrap.m
function [mu, bias, varjack] = mean_bootstrap(data, B)
%Find the estimate of the mean, it's bias and variance using the bootstrap estimator method
%Inputs:
% data - The data from which to estimat
www.eeworm.com/read/410262/11295221
h newran.h
// newran.h ------------------------------------------------------------
// NEWRAN02
#ifndef NEWRAN_LIB
#define NEWRAN_LIB 0
//******************* utilities and definitions *****************
www.eeworm.com/read/410262/11295263
cpp newran.cpp
// newran.cpp -----------------------------------------------------------
// NEWRAN02
#define WANT_STREAM
#define WANT_MATH
#include "Include.h"
#include "newran.h"
//#include "mother.h"
www.eeworm.com/read/263655/11348910
cpp mrandom.cpp
#include
#include
#include
#include "msp.h"
float randnu(long *iseed)
{
float z;
*iseed=2045*(*iseed)+1;
*iseed=*iseed-(*iseed/1048576)*10
www.eeworm.com/read/405069/11472212
m mean_jackknife.m
function [mu, bias, varjack] = mean_jackknife(data)
%Find the estimate of the mean, it's bias and variance using the jackknife estimator method
%Inputs:
% data - The data from which to estimate