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Generation of Random Variates

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Generation of Random Variates

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generates random variates from over 870 univariate distributions

expinvgaus_cdf(x,lambda,gam,delta)
% expinvgaus_cdf.m - compute an Exponential Inverse Gaussian Cumulative Distribution Function.
%   See "Modelling Losses Using an Exponential Inverse Gaussian Distribution", 
%   N. Frangos & D. Karlis, Insurance: Mathematics and Economics 35, p.53, 2004.
%
%  Created by Jim Huntley,  05/05/09               
%
%               Vector Form of CDF !!!
%


function [cdf] = expinvgaus_cdf(x,lambda,gam,delta)

tol = 1e-8;
trace = [];
warning off MATLAB:quad:MinStepSize;

minx = min(x);

% Integrate PDF to get CDF.
warning off MATLAB:quad:MinStepSize
sz = size(x,2);
for jz = 1:sz
    cdf(jz) = quad(@expinvgaus_pdf,minx,x(jz),tol,trace,lambda,gam,delta);
end

return



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