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Object representing nonparametric probability distribution defined by kernel smoothing
ProbDistKernel is an abstract class defining the properties and methods of a nonparametric distribution defined by a kernel smoothing function.
ProbDistKernel is an abstract class. You cannot create instances of this class directly. You can construct an object in a subclass, ProbDistUnivKernel, either by calling the subclass constructor, ProbDistUnivKernel, or by using the fitdist function.
| cdf | Return cumulative distribution function (CDF) for ProbDist object |
| Return probability density function (PDF) for ProbDist object | |
| random | Generate random number drawn from ProbDist object |
Note The above methods are inherited from the ProbDist class. |
| 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 |
| Support | Read-only structure containing information about support of ProbDist object |
Note Some of the above properties are inherited from the ProbDist class. |
Value. To learn how this affects your use of the class, see Copying Objects in the MATLAB Programming Fundamentals documentation.
fitdist | ProbDist | ProbDistUnivKernel | ProbDistUnivKernel
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