pearspdf 1.0

% pearspdf% [p,type,coefs] = pearspdf(X,mu,sigma,skew,kurt)%% Returns the probability distribution denisty of the pearsons distribution% with mean `mu`, standard deviation `sigma`, skewness `skew` and% kurtosis `kurt`, evaluated at the values in X.%% Some combinations of moments are not valid for any random variable, and in% particular, the kurtosis must be greater than the square of the skewness% plus 1. The kurtosis of the normal distribution is defined to be 3.%% The seven distribution types in the Pearson system correspond to the% following distributions:%% Type 0: Normal distribution% Type 1: Four-parameter beta% Type 2: Symmetric four-parameter beta% Type 3: Three-parameter gamma% Type 4: Not related to any standard distribution. Density proportional% to (1+((x-a)/b)^2)^(-c) * exp(-d*arctan((x-a)/b)).% Type 5: Inverse gamma location-scale% Type 6: F location-scale% Type 7: Student's t location-scale%% Examples%% See also% pearspdf pearsrnd mean std skewness kurtosis%It's a modification of the pearsrnd function

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Distributions,  Fourparameter,  Normal,  Pearson,  Symmetric,  System,  Threeparameter,  Types
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