代码搜索：Probability

找到约 4,670 项符合「Probability」的源代码

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www.eeworm.com/read/300562/13905512

m bdt_f529.m

% MATLAB script that generates the probability of error versus the signal to noise ratio initial_snr=0; final_snr=15; snr_step=1; tolerance=1e-7; % Tolerance used for the integration minus_in
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www.eeworm.com/read/300562/13905523

m bdt_f527.m

% MATLAB script that generates the probability of error versus the signal to noise ratio initial_snr=0; final_snr=15; snr_step=1; tolerance=1e-7; % Tolerance used for the integration minus_in
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www.eeworm.com/read/300086/13936334

m variance.m

function v=variance(funfcn,a,b,tol,p1,p2,p3) % EXPECTED Finds the variance of a random variable % with probability density function 'funfcn' and % support [a,b]. % Y=VARIANCE('F',A,B,T
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www.eeworm.com/read/300086/13936611

m variance.m

function v=variance(funfcn,a,b,tol,p1,p2,p3) % EXPECTED Finds the variance of a random variable % with probability density function 'funfcn' and % support [a,b]. % Y=VARIANCE('F',A,B,T
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www.eeworm.com/read/132953/14065205

m bdt_f529.m

% MATLAB script that generates the probability of error versus the signal to noise ratio initial_snr=0; final_snr=15; snr_step=1; tolerance=1e-7; % Tolerance used for the integration minus_in
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www.eeworm.com/read/132953/14065214

m bdt_f527.m

% MATLAB script that generates the probability of error versus the signal to noise ratio initial_snr=0; final_snr=15; snr_step=1; tolerance=1e-7; % Tolerance used for the integration minus_in
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www.eeworm.com/read/202790/15372801

m variance.m

function v=variance(funfcn,a,b,tol,p1,p2,p3) % EXPECTED Finds the variance of a random variable % with probability density function 'funfcn' and % support [a,b]. % Y=VARIANCE('F',A,B,T
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www.eeworm.com/read/101557/15826360

m variance.m

function v=variance(funfcn,a,b,tol,p1,p2,p3) % EXPECTED Finds the variance of a random variable % with probability density function 'funfcn' and % support [a,b]. % Y=VARIANCE('F',A,B,T
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www.eeworm.com/read/101557/15826425

m variance.m

function v=variance(funfcn,a,b,tol,p1,p2,p3) % EXPECTED Finds the variance of a random variable % with probability density function 'funfcn' and % support [a,b]. % Y=VARIANCE('F',A,B,T
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www.eeworm.com/read/192035/8410436

m wilhil.m

function [chi2]=wilhil(nu,p) % WILHIL - Wilson-Hilferty approximation to chi-squared. % Syntax: [chi2]=wilhil(nu,p); % % Inputs: p - single-tailed probability % nu - degrees of freedom.
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