Code covered by the BSD License
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[ctimes, cval]=linjpcut(jmpti...
LINJPCUT Truncate piecewise linear functions at a given time.
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[ctimes, cval]=staircut(jmpti...
STAIRCUT Truncate piecewise constant functions at a given time.
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[ctimes, le_ij, cle_ij, exi, ...
STTIMESCUT Truncate nondecreasing sequences at a given point.
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countpath(cdir)
COUNTPATH add the counting processes and random number
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distrmu(distr, dpar)
DISTRMU a table-lookup function. For a given handle to an external
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distrstat(distr, dpar)
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onoff(nproc, maxtime, on_dist...
ONOFF generate N independent stationary on-off processes. An
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rencount(nproc, maxtime, dist...
% RENCOUNT Simulate independent renewal counting processes
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renewpp(nproc, maxtime, distr...
RENEWPP Generate a matrix of N independent renewal point
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renrew(nproc, maxtime, ren1_d...
% RENREW Generate N independent renewal reward processes
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renuni(nproc, maxtime)
RENUNI Generate a matrix of N independent renewal counting
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simbinom(npoints, n, p)
SIMBINOM random numbers from binomial distribution
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simdiscr(npoints, pdf, val)
SIMDISCR random numbers from a discrete random
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simexp(M, N, lambda)
SIMEXP random numbers from exponential distribution
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simgeom(npoints, p)
SIMGEOM random numbers from geometric distribution
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simlinear(M, N)
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simpareto(M, N, alpha)
SIMPARETO random numbers from Pareto distribution:
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simparetonrm(M, N, alpha, gam...
SIMPARETONRM Generate a matrix of random numbers from the
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stairintegr(jptimes, fval, st...
% STAIRINTEGR Integrate piecewise constant (stair) functions. The results
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stairsum(jmptimes, fval)
% STAIRSUM Add piecewise constant (stair) functions.
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stsumplot(jptimes, fval, stim...
STSUMPLOT Plot piecewise constant functions and their sum. The
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| distrmu(distr, dpar)
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function [mu] = distrmu(distr, dpar)
% DISTRMU a table-lookup function. For a given handle to an external
% random number generator extracts the expected value from its
% parameter list.
%
% [mu] = distrmu(distr, dpar)
%
% Inputs:
% distr - pointer to an external function generating random
% numbers from the desired distribution:
% @rand: uniform in (0,1)
% @simexp: Exp(lambda)
% @simparetonrm: Pareto(alpha, gamma) (see SIMPARETONRM)
% @randn: standard normal
% dpar - a cell array of the distribution parameters
%
% Outputs:
% mu - the expected value
%
% See also DISTRSTAT.
% Author: R.Gaigalas
% v1.0 06-Oct-05
switch func2str(distr)
% switch distr
case 'ones' % degenerate=1 wp1 - counting process
mu = 1;
case 'rand' % uniform (0,1)
mu = 0.5;
case 'simexp' % Exp(lambda)
mu = 1/dpar{1};
case 'simparetonrm' % Pareto(alpha, gamma)
mu = 1/(dpar{2}*(dpar{1}-1));
otherwise
error('Bad parameter <distr>');
return;
end
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