代码搜索:Weron

找到约 22 项符合「Weron」的源代码

代码结果 22
www.eeworm.com/read/322305/7072508

m hyppdf.m

function y=hyppdf(x,alpha,beta,delta,mu); %HYPPDF Hyperbolic probability density function (pdf). % Y=HYPPDF(X,ALPHA,BETA,DELTA,MU) returns the pdf of the hyperbolic % distribution with shape p
www.eeworm.com/read/322305/7072514

m hypcdf.m

function y=hypcdf(x,alpha,beta,delta,mu,starti); %HYPCDF Hyperbolic cumulative distribution function (cdf). % Y=HYPCDF(X,ALPHA,BETA,DELTA,MU,STARTI) returns the cdf of the hyperbolic % distri
www.eeworm.com/read/322305/7072521

m nigest.m

function [params,fval,exitflag,iterations]=nigest(x,x0); %NIGEST Estimate parameters of the NIG distribution. % PARAMS=NIGEST(X) returns the maximum likelihood estimates of the NIG % distribut
www.eeworm.com/read/322305/7072524

m hypest.m

function [params,fval,exitflag,iterations]=hypest(x,x0); %HYPEST Estimate parameters of the hyperbolic distribution. % PARAMS=HYPEST(X) returns the maximum likelihood estimates of the % hyperbo
www.eeworm.com/read/322305/7072533

m nigcdf.m

function y=nigcdf(x,alpha,beta,delta,mu,starti); %NIGCDF NIG cumulative distribution function (cdf). % Y=NIGCDF(X,ALPHA,BETA,DELTA,MU,STARTI) returns the cdf of the NIG % distribution with sha
www.eeworm.com/read/322305/7072534

m nigpdf.m

function y=nigpdf(x,alpha,beta,delta,mu); %NIGPDF NIG probability density function (pdf). % Y=NIGPDF(X,ALPHA,BETA,DELTA,MU) returns the pdf of the NIG % distribution with shape parameter ALPHA
www.eeworm.com/read/322305/7072532

m onlyone.m

function onlyone(varargin); %ONLYONE Sets only one active radiobutton. % ONLYONE(VARARGIN) turns on the first radiobutton in VARARGIN and turns % off all the remaining radiobuttons. % Writte
www.eeworm.com/read/322305/7072565

m hyploglik.m

function y=hyploglik(params,x); %HYPLOGLIK Hyperbolic log-likelihood function. % Y=HYPLOGLIK(PARAMS,X) returns the log-likelihood function of the % hyperbolic distribution with parameters PARA
www.eeworm.com/read/322305/7072568

m nigloglik.m

function y=nigloglik(params,x); %NIGLOGLIK NIG log-likelihood function. % Y=NIGLOGLIK(PARAMS,X) returns the log-likelihood function of the NIG % distribution with parameters PARAMS = [ALPHA,BE
www.eeworm.com/read/322305/7072528

m decompa.m

function [perc,stochc]=decompA(L,beg_i,end_i,N); %DECOMPA Differencing-smoothing daily data decomposition. % [PERC,STOCHC]=DECOMPA(L,BEG_I,END_I,N) decomposes daily data % L(BEG_I:END_I) into s