ProbDistUnivParam class - Superclasses: ProbDistParametric

Object representing univariate parametric probability distribution

Description

A ProbDistUnivParam object represents a univariate parametric probability distribution. You create this object by using the constructor (ProbDistUnivParam) and supplying parameter values, or by using the fitdist function to fit the distribution to data.

Construction

fitdist	Fit probability distribution to data
ProbDistUnivParam	Construct ProbDistUnivParam object

Methods

cdf	Return cumulative distribution function (CDF) for ProbDist object
icdf	Return inverse cumulative distribution function (ICDF) for ProbDistUnivParam object
iqr	Return interquartile range (IQR) for ProbDistUnivParam object
mean	Return mean of ProbDistUnivParam object
median	Return median of ProbDistUnivParam object
paramci	Return parameter confidence intervals of ProbDistUnivParam object
pdf	Return probability density function (PDF) for ProbDist object
random	Generate random number drawn from ProbDist object
std	Return standard deviation of ProbDistUnivParam object
var	Return variance of ProbDistUnivParam object

Note Some of the above methods are inherited from the ProbDistParametric class.

Properties

DistName	Read-only string containing probability distribution name of ProbDist object
InputData	Read-only structure containing information about input data to ProbDist object
NLogL	Read-only value specifying negative log likelihood for input data to ProbDistParametric object
NumParams	Read-only value specifying number of parameters of ProbDistParametric object
ParamCov	Read-only covariance matrix of parameter estimates of ProbDistParametric object
ParamDescription	Read-only cell array specifying descriptions of parameters of ProbDistParametric object
ParamIsFixed	Read-only logical array specifying fixed parameters of ProbDistParametric object
ParamNames	Read-only cell array specifying names of parameters of ProbDistParametric object
Params	Read-only array specifying values of parameters of ProbDistParametric object
Support	Read-only structure containing information about support of ProbDist object

Note The above properties are inherited from the ProbDistParametric class.

Note Parameter values are also properties. For example, if you create PD, a univariate parametric probability distribution object that represents a normal distribution, then PD.mu and PD.sigma are properties that give the values of the mu and sigma parameters.