Documentation

ProbDistUnivKernel class

Superclasses: ProbDistKernel

Object representing univariate kernel probability distribution

Description

A ProbDistUnivKernel object represents a univariate nonparametric probability distribution defined by kernel smoothing. You create this object using the fitdist function to fit the distribution to data.

Construction

Methods

cdfReturn cumulative distribution function (CDF) for ProbDist object
icdfReturn inverse cumulative distribution function (ICDF) for ProbDistUnivKernel object
iqrReturn interquartile range (IQR) for ProbDistUnivKernel object
medianReturn median of ProbDistUnivKernel object
pdfReturn probability density function (PDF) for ProbDist object
randomGenerate random number drawn from ProbDist object

    Note:   Some of the above methods are inherited from the ProbDistKernel class.

Properties

BandWidthRead-only value specifying bandwidth of kernel smoothing function for ProbDistKernel object
DistNameRead-only string containing probability distribution name of ProbDist object
InputDataRead-only structure containing information about input data to ProbDist object
KernelRead-only string specifying name of kernel smoothing function for ProbDistKernel object
NLogLRead-only value specifying negative log likelihood for input data to ProbDistUnivKernel object
SupportRead-only structure containing information about support of ProbDist object

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

Copy Semantics

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

References

[1] Bowman, A. W., and A. Azzalini. Applied Smoothing Techniques for Data Analysis. New York: Oxford University Press, 1997.

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