function dists = statguidists %STATGUIDISTS Distribution data for RANDTOOL and DISTTOOL % The name field is used both to display the distribution, and as an argument % to the CDF, PDF, ICDF, and RANDOM functions. The rvname field is used % internally to identify a distribution given its position in this structure, % and is also used in RANDTOOL as a workspace variable name. % % The pmin and pmax fields give the theoretical limits for the parameters, % while the plo(>=pmin) and phi(<=pmax) fields give the currently enforced % limits. % Copyright 1993-2005 The MathWorks, Inc. % $Revision: 1.1.6.1 $ $Date: 2005/11/18 14:28:51 $ i = 0; i = i+1; dists(i) = struct('name','Beta', ... 'rvname','betarv', ... 'discrete', 0, ... 'paramnames',{{'A','B'}}, ... 'parameters', [2 2], ... 'pmax', [Inf Inf], ... 'pmin', [0 0], ... 'phi', [4 4], ... 'plo', [0.5 0.5], ... 'intparam', [0 0]); i = i+1; dists(i) = struct('name','Binomial', ... 'rvname','binorv', ... 'discrete', 1, ... 'paramnames',{{'Trials','Prob'}}, ... 'parameters', [10 0.5], ... 'pmax', [Inf 1], ... 'pmin', [0 0], ... 'phi', [10 1], ... 'plo', [1 0], ... 'intparam', [1 0]); i = i+1; dists(i) = struct('name','Chisquare', ... 'rvname','chi2rv', ... 'discrete', 0, ... 'paramnames',{{'df'}}, ... 'parameters', 2, ... 'pmax', Inf, ... 'pmin', 0, ... 'phi', 10, ... 'plo', 1, ... 'intparam', [0 0]); i = i+1; dists(i) = struct('name','Discrete Uniform', ... 'rvname','unidrv', ... 'discrete', 1, ... 'paramnames',{{'Number'}}, ... 'parameters', 20, ... 'pmax', Inf, ... 'pmin', 0, ... 'phi', 20, ... 'plo', 1, ... 'intparam', [1 0]); i = i+1; dists(i) = struct('name','Exponential', ... 'rvname','exprv', ... 'discrete', 0, ... 'paramnames',{{'Mu'}}, ... 'parameters', 1, ... 'pmax', Inf, ... 'pmin', 0, ... 'phi', 2, ... 'plo', 0.5, ... 'intparam', [0]); i = i+1; dists(i) = struct('name','Extreme Value', ... 'rvname','evrv', ... 'discrete', 0, ... 'paramnames',{{'Mu','Sigma'}}, ... 'parameters', [0 1], ... 'pmax', [Inf Inf], ... 'pmin', [-Inf 0], ... 'phi', [5 2], ... 'plo', [-5 .5], ... 'intparam', [0 0]); i = i+1; dists(i) = struct('name','F', ... 'rvname','frv', ... 'discrete', 0, ... 'paramnames',{{'df1','df2'}}, ... 'parameters', [5 5], ... 'pmax', [Inf Inf], ... 'pmin', [0 0], ... 'phi', [10 10], ... 'plo', [5 5], ... 'intparam', [0 0]); i = i+1; dists(i) = struct('name','Gamma', ... 'rvname','gamrv', ... 'discrete', 0, ... 'paramnames',{{'A','B'}}, ... 'parameters', [2 2], ... 'pmax', [Inf Inf], ... 'pmin', [0 0], ... 'phi', [5 5], ... 'plo', [2 2], ... 'intparam', [0 0]); i = i+1; dists(i) = struct('name','Generalized Extreme Value', ... 'rvname','gevrv', ... 'discrete', 0, ... 'paramnames',{{'K','Sigma','Mu'}}, ... 'parameters', [0 1 0], ... 'pmax', [Inf Inf Inf], ... 'pmin', [-Inf 0 -Inf], ... 'phi', [.25 2 2], ... 'plo', [-0.5 0.5 -2], ... 'intparam', [0 0 0]); i = i+1; dists(i) = struct('name','Generalized Pareto', ... 'rvname','gprv', ... 'discrete', 0, ... 'paramnames',{{'K','Sigma','Theta'}}, ... 'parameters', [0 1 0], ... 'pmax', [Inf Inf Inf], ... 'pmin', [-Inf 0 -Inf], ... 'phi', [.25 2 2], ... 'plo', [-0.25 0.5 -2], ... 'intparam', [0 0 0]); i = i+1; dists(i) = struct('name','Geometric', ... 'rvname','georv', ... 'discrete', 1, ... 'paramnames',{{'Prob'}}, ... 'parameters', 0.5, ... 'pmax', 1, ... 'pmin', 0, ... 'phi', 0.99, ... 'plo', 0.25, ... 'intparam', [0 0]); i = i+1; dists(i) = struct('name','Lognormal', ... 'rvname','lognrv', ... 'discrete', 0, ... 'paramnames',{{'Mu','Sigma'}}, ... 'parameters', [0.5 0.25], ... 'pmax', [Inf Inf], ... 'pmin', [-Inf 0], ... 'phi', [1 0.3], ... 'plo', [0 0.1], ... 'intparam', [0 0]); i = i+1; dists(i) = struct('name','Negative Binomial', ... 'rvname','nbinrv', ... 'discrete', 1, ... 'paramnames',{{'R','Prob'}}, ... 'parameters', [2 0.6], ... 'pmax', [Inf 1], ... 'pmin', [0 0], ... 'phi', [3 0.99], ... 'plo', [1 0.5], ... 'intparam', [0 0]); i = i+1; dists(i) = struct('name','Noncentral F', ... 'rvname','ncfrv', ... 'discrete', 0, ... 'paramnames',{{'df1','df2','Delta'}}, ... 'parameters', [5 5 1], ... 'pmax', [Inf Inf Inf], ... 'pmin', [0 0 0], ... 'phi', [10 10 5], ... 'plo', [5 5 0], ... 'intparam', [0 0 0]); i = i+1; dists(i) = struct('name','Noncentral T', ... 'rvname', 'nctrv', ... 'discrete', 0, ... 'paramnames',{{'df','delta'}}, ... 'parameters', [5 1], ... 'pmax', [Inf Inf], ... 'pmin', [0 -Inf], ... 'phi', [10 5], ... 'plo', [2 0], ... 'intparam', [0 0]); i = i+1; dists(i) = struct('name','Noncentral Chi-square', ... 'rvname', 'ncx2rv', ... 'discrete', 0, ... 'paramnames',{{'df','delta'}}, ... 'parameters', [5 1], ... 'pmax', [Inf Inf], ... 'pmin', [0 0], ... 'phi', [10 5], ... 'plo', [2 0], ... 'intparam', [0 0]); i = i+1; dists(i) = struct('name','Normal', ... 'rvname', 'normrv', ... 'discrete', 0, ... 'paramnames',{{'Mu','Sigma'}}, ... 'parameters', [0 1], ... 'pmax', [Inf Inf], ... 'pmin', [-Inf 0], ... 'phi', [2 2], ... 'plo', [-2 0.5], ... 'intparam', [0 0]); i = i+1; dists(i) = struct('name','Poisson', ... 'rvname', 'poissrv', ... 'discrete', 1, ... 'paramnames',{{'Lambda'}}, ... 'parameters', 5, ... 'pmax', Inf, ... 'pmin', 0, ... 'phi', 5, ... 'plo', 1, ... 'intparam', [0]); i = i+1; dists(i) = struct('name','Rayleigh', ... 'rvname', 'raylrv', ... 'discrete', 0, ... 'paramnames',{{'B'}}, ... 'parameters', 2, ... 'pmax', Inf, ... 'pmin', 0, ... 'phi', 5, ... 'plo', 1, ... 'intparam', [0]); i = i+1; dists(i) = struct('name','T', ... 'rvname', 'trv', ... 'discrete', 0, ... 'paramnames',{{'df'}}, ... 'parameters', 5, ... 'pmax', Inf, ... 'pmin', 0, ... 'phi', 10, ... 'plo', 2, ... 'intparam', [0]); i = i+1; dists(i) = struct('name','Uniform', ... 'rvname', 'unifrv', ... 'discrete', 0, ... 'paramnames',{{'Min','Max'}}, ... 'parameters', [0 1], ... 'pmax', [Inf Inf], ... 'pmin', [-Inf -Inf], ... 'phi', [0.5 2], ... 'plo', [0 1], ... 'intparam', [0 0]); i = i+1; dists(i) = struct('name','Weibull', ... 'rvname', 'weibrv', ... 'discrete', 0, ... 'paramnames',{{'A','B'}}, ... 'parameters', [1 2], ... 'pmax', [Inf Inf], ... 'pmin', [0 0], ... 'phi', [3 3], ... 'plo', [.5 .5], ... 'intparam', [0 0]);