代码搜索：Probability
找到约 4,670 项符合「Probability」的源代码
代码结果 4,670
www.eeworm.com/read/198546/7928692
m shapirowilks.m
function [statistic, pval, H] = shapirowilks(x,tails,probability)
% PURPOSE:
% This function performs that Shapiro-Wilks Test for normality of the data
% This is an omnibus test, and is general
www.eeworm.com/read/297942/7984996
m fig4_2.m
t=0:0.001:6;
psisq=1;
a=3;
ray=t.*exp(-(t.^2)./2.);
arg1=1./sqrt(2*pi);
arg2=-0.5.*((t-a).^2);
gau=arg1.*exp(arg2);
plot(t,ray,'k',t,gau,'k');
grid
gtext('Gaussian');
gtext('Rayleigh')
xlab
www.eeworm.com/read/297942/7985068
m untitled1.m
t=0:0.001:6;
psisq=1;
a=3;
ray=t.*exp(-(t.^2)./2.);
arg1=1./sqrt(2*pi);
arg2=-0.5.*((t-a).^2);
gau=arg1.*exp(arg2);
plot(t,ray,'k',t,gau,'k');
grid
gtext('Gaussian');
gtext('Rayleigh')
xlab
www.eeworm.com/read/196840/8055067
m hmmsim.m
function [simdata] = hmmsim (hmm,N)
% [simdata] = hmmsim (hmm,N)
%
% simulates the output of an HMM with gaussian observation model
% and HMM parameters
% hmm.Pi = prior probability
% hmm.P = st
www.eeworm.com/read/196840/8055069
m fhmmsim.m
function [simdata] = fhmmsim (fhmm,N)
% [simdata] = fhmmsim (fhmm,N)
%
% simulates the output of an FHMM with gaussian observation model
% and FHMM parameters
% fhmm.Pi = prior probability
% fhmm
www.eeworm.com/read/196836/8055250
m hmmsim.m
function [simdata] = hmmsim (hmm,N)
% [simdata] = hmmsim (hmm,N)
%
% simulates the output of an HMM with gaussian observation model
% and HMM parameters
% hmm.Pi = prior probability
% hmm.P = st
www.eeworm.com/read/196832/8055399
m hmmsim.m
function [simdata] = hmmsim (hmm,N)
% [simdata] = hmmsim (hmm,N)
%
% simulates the output of an HMM with gaussian observation model
% and HMM parameters
% hmm.Pi = prior probability
% hmm.P = st
www.eeworm.com/read/196832/8055405
m fhmmsim.m
function [simdata] = fhmmsim (fhmm,N)
% [simdata] = fhmmsim (fhmm,N)
%
% simulates the output of an FHMM with gaussian observation model
% and FHMM parameters
% fhmm.Pi = prior probability
% fhmm
www.eeworm.com/read/296909/8072806
m entropy.m
function H = entropy(px)
% ENTROPY Computes the entropy of discrete r.v. with pmf px.
%
% ENTROPY computes the entropy of a discrete random variable
% with probability mass function p_x.