代码搜索：Variance

找到约 2,271 项符合「Variance」的源代码

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m simu2data1.m

function SIMU2DATA clear; clc close all %simulate a 2-way data (matrix) %chrom is a matrix with peak height,peak position and peak variance of several chromatography peaks %such as chrom =[1 20
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www.eeworm.com/read/314681/13561782

m fmess_sim2.m

function [rvcorr]=fmess_sim2(d,rv,alpha) % %function [rvcorr]=fmess_sim2(d,rv,alpha) % %This function simulates a normal random variable with a matrix exponential variance-covariance function %In
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www.eeworm.com/read/489609/6466726

changes

$Id: CHANGES 151 2007-10-17 13:03:06Z bhm $ Changes in 2.1-0 ================ New features: ------------- - Jackknife variance estimation of regression coefficients are now available. (Note that t
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www.eeworm.com/read/153776/12007334

c gasdev.c

#include #include "dist.h" float NormalDist::gasdev(void) // returns a normally distributed deviate with zero mean and unit // variance, using ran1(idum) as the source of uniform deviates.
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www.eeworm.com/read/218190/14931686

m simu2data1.m

function SIMU2DATA clear; clc close all %simulate a 2-way data (matrix) %chrom is a matrix with peak height,peak position and peak variance of several chromatography peaks %such as chrom =[1 20
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www.eeworm.com/read/204192/5032941

data temp-rewards-mult.data

#$val(broadcastReward) double($val(temperature))/-$val(broadcastReward) SampleCount $pdr(tot)/avg $pdr(tot)/min $pdr(tot)/max $pdr(tot)/variance $pdr(tot)/err(0.95) -20 0.1 3 0.829213666667 0.756615
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www.eeworm.com/read/204192/5032953

data demo1.data

#$val(routingprotocol) double($val(numflows) * $val(packetSize) * $val(packetsPerSecond) * 8) / 1024.0 SampleCount $pdr(tot)/avg $pdr(tot)/min $pdr(tot)/max $pdr(tot)/variance $pdr(tot)/err(0.95) doub
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www.eeworm.com/read/204192/5032957

data temp-rewards-temp.data

#$val(broadcastReward) $val(temperature) SampleCount $pdr(tot)/avg $pdr(tot)/min $pdr(tot)/max $pdr(tot)/variance $pdr(tot)/err(0.95) -20 2.0 3 0.829213666667 0.756615 0.887499 0.00443630899734 0.090
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www.eeworm.com/read/309003/3708845

m adfig02.m

% adfig02 -- Adapt Figure 02: Noisy Versions of Four Signals % % The four objects of Figure 1 with white noise superposed. % The noise is normally distributed with variance 1. % % global N L t glob
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www.eeworm.com/read/300244/3847708

m figure330.m

% figure330 - Compare 'octave band' PSD (SDF) estimates for vertical % shear measurements via periodogram, multitaper PSD, % Haar and D6 wavelet variance estimates. % % Usage: % run figure330 % %
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