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

fitdist

Fit probability distribution to data

Methods

cdf	Return cumulative distribution function (CDF) for ProbDist object
icdf	Return inverse cumulative distribution function (ICDF) for ProbDistUnivKernel object
iqr	Return interquartile range (IQR) for ProbDistUnivKernel object
median	Return median of ProbDistUnivKernel object
pdf	Return probability density function (PDF) for ProbDist object
random	Generate random number drawn from ProbDist object

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

Properties

BandWidth	Read-only value specifying bandwidth of kernel smoothing function for ProbDistKernel object
DistName	Read-only string containing probability distribution name of ProbDist object
InputData	Read-only structure containing information about input data to ProbDist object
Kernel	Read-only string specifying name of kernel smoothing function for ProbDistKernel object
NLogL	Read-only value specifying negative log likelihood for input data to ProbDistUnivKernel object
Support	Read-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.

See Also

fitdist | ksdensity | ProbDist | ProbDistKernel | ProbDistUnivKernel

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