Documentation

ProbDistParametric class

Superclasses: ProbDist

Object representing parametric probability distribution

Compatibility

ProbDistParametric will be removed in a future release. To create and fit probability distribution objects, use makedist and fitdist instead.

Description

ProbDistParametric is an abstract class defining the properties and methods of a parametric probability distribution.

Construction

ProbDistParametric is an abstract class. You cannot create instances of this class directly. You can construct an object in its subclass, ProbDistUnivParam, by calling the subclass constructor, ProbDistUnivParam.

Methods

cdfReturn cumulative distribution function (CDF) for ProbDist object
pdfReturn probability density function (PDF) for ProbDist object
randomGenerate random number drawn from ProbDist object

    Note:   The above methods are inherited from the ProbDist class.

Properties

DistNameRead-only string containing probability distribution name of ProbDist object
InputDataRead-only structure containing information about input data to ProbDist object
NLogLRead-only value specifying negative log likelihood for input data to ProbDistParametric object
NumParamsRead-only value specifying number of parameters of ProbDistParametric object
ParamCovRead-only covariance matrix of parameter estimates of ProbDistParametric object
ParamDescriptionRead-only cell array specifying descriptions of parameters of ProbDistParametric object
ParamIsFixedRead-only logical array specifying fixed parameters of ProbDistParametric object
ParamNamesRead-only cell array specifying names of parameters of ProbDistParametric object
ParamsRead-only array specifying values of parameters of ProbDistParametric object
SupportRead-only structure containing information about support of ProbDist object

    Note:   Some of the above properties are inherited from the ProbDist class.

Copy Semantics

Value. To learn how this affects your use of the class, see Copying Objects in the MATLAB® Programming Fundamentals documentation.

Was this topic helpful?