ProbDistParametric class - Superclasses: ProbDist
Object representing parametric probability distribution
Description
ProbDistParametric is an abstract class defining the properties
and methods of a parametric probability distribution.
Construction
ProbDistParametric is an abstract class. You cannot create instances
of this class directly. You can construct an object in its subclass, ProbDistUnivParam,
either by calling the subclass constructor, ProbDistUnivParam,
or by using the fitdist function.
Methods
| cdf | Return cumulative distribution function (CDF) for ProbDist
object |
| pdf | 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. |
Properties
| DistName | Read-only string containing probability distribution name
of ProbDist object |
| InputData | Read-only structure containing information about input
data to ProbDist object |
| NLogL | Read-only value specifying negative log likelihood for
input data to ProbDistParametric object |
| NumParams | Read-only value specifying number of parameters of ProbDistParametric
object |
| ParamCov | Read-only covariance matrix of parameter estimates of
ProbDistParametric object |
| ParamDescription | Read-only cell array specifying descriptions of parameters
of ProbDistParametric object |
| ParamIsFixed | Read-only logical array specifying fixed parameters of
ProbDistParametric object |
| ParamNames | Read-only cell array specifying names of parameters of
ProbDistParametric object |
| Params | Read-only array specifying values of parameters of ProbDistParametric
object |
| Support | Read-only structure containing information about support
of ProbDist object |
Note
Some of the above properties are inherited from the ProbDist class. |
Copy Semantics
Value. To learn how this affects your use of the class, see Copying Objects in
the MATLAB Programming Fundamentals documentation.
See Also
 | ProbDistKernel class | | ProbDistUnivKernel class |  |
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