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