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
 | ProbDistParametric class | | ProbDistUnivKernel |  |
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