prtRvUniform Uniform random variable
RV = prtRvUniform creates a prtRvUniform object with empty
upperBounds and lowerBounds. The upperBounds and lowerBounds must
be set either directly, or by calling the MLE method. upperBounds
and lowerBounds specify the range of the uniform variable.
RV = prtRvUniform(PROPERTY1, VALUE1,...) creates a prtRvUniform
object RV with properties as specified by PROPERTY/VALUE pairs.
A prtRvUniform object inherits all properties from the prtRv class.
In addition, it has the following properties:
upperBounds - 1 x nDims double vector specifying the upper bound of
the region with uniform density
lowerBounds - 1 x nDims double vector specifying the lower bound of
the region with uniform density
A prtRvUniform object inherits all methods from the prtRv class.
The MLE method can be used to estimate the distribution parameters
from data.
Example:
dataSet = prtDataGenUnimodal; % Load a dataset consisting of
% 2 features
dataSet = retainFeatures(dataSet,1); % Retain only the first feature
RV = prtRvUniform; % Create a prtRvUniform object
RV = RV.mle(dataSet); % Compute the bounds
% form the data
RV.plotPdf % Plot the pdf