Creates a Discrete Uniform distribution object (Discrete Distribution).
Each member of the family of discrete density functions pf= [ 1/N, for x=1,2,...,N] or 0 otherwise.
where the parameter N ranges over the positive integers is defined to have a discrete uniform distribution.
A random variable X having this density is called a discrete uniform random variable.
The mean of a Discrete Uniform distribution is (N+1)/2 and the variance is given by (pow(N, 2) - 1)/12. The string 'Key' resulting from a successful construction of this distribution object can be passed to the following functions in order to query (mean, std deviation and variance) or execute functions (probability function, cumulative density function etc...) based on this distribution object :
DDistributionMean(),
DDistributionVar(),
DDistributionSTD(),
DDistributionPF() or
DDistributionCDF(). In addition, the string 'Key' resulting from a successful construction of this distribution object will also allow you to construct a process generator object via a call to
PGDUniformDistribution(). A process generator object allows you to generate large amounts of random numbers based on this distribution.
Even though
PGDUniformDistribution() is the process generator object, the function
RandomDUniform() is the actual function that obtains the random numbers given a count parameter and the process generator string 'key'.
This function creates an object and returns a string-key value to represent this created object.
The TAG value of the string-key returned (second part of the key) is : "DUniform"
The C# example below contains all the sub-function calls leading up to this function call. As a result, the example can contain a lot of code.
The VB.NET, J#, C++.NET, Java, Excel VBA, Visual Basic 6 (via COM) and C++ examples below contain function code stubs for the calls leading up to this function call. However, the function call for this function is displayed.
You can easily reproduce the stub functions code from the
C# example.
Copyright (c) 2003-2007 CapeTools - All Rights Reserved.