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

ProbDistUnivParamConstruct ProbDistUnivParam object

Methods

cdfReturn cumulative distribution function (CDF) for ProbDist object
icdfReturn inverse cumulative distribution function (ICDF) for ProbDistUnivParam object
iqrReturn interquartile range (IQR) for ProbDistUnivParam object
meanReturn mean of ProbDistUnivParam object
medianReturn median of ProbDistUnivParam object
paramciReturn parameter confidence intervals of ProbDistUnivParam object
pdfReturn probability density function (PDF) for ProbDist object
randomGenerate random number drawn from ProbDist object
stdReturn standard deviation of ProbDistUnivParam object
varReturn variance of ProbDistUnivParam object

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:   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.

Copy Semantics

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

References

[1] Johnson, N. L., S. Kotz, and N. Balakrishnan. Continuous Univariate Distributions. Vol. 1, Hoboken, NJ: Wiley-Interscience, 1993.

[2] Johnson, N. L., S. Kotz, and N. Balakrishnan. Continuous Univariate Distributions. Vol. 2, Hoboken, NJ: Wiley-Interscience, 1994.

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