/// <summary>
/// Constructs a Gamma distribution.
/// Example: alpha=1.0, lambda=1.0. </summary>
/// <param name="alpha"> alpha </param>
/// <param name="lambda"> lambda </param>
/// <param name="randomGenerator"> generator </param>
/// <exception cref="IllegalArgumentException"> if <tt>alpha <= 0.0 || lambda <= 0.0</tt>. </exception>
public Gamma(double alpha, double lambda, RandomEngine randomGenerator)
{
RandomGenerator = randomGenerator;
setState(alpha, lambda);
}
/// <summary>
/// Constructs a StudentT distribution.
/// Example: freedom=1.0. </summary>
/// <param name="freedom"> degrees of freedom. </param>
/// <param name="randomGenerator"> input </param>
/// <exception cref="IllegalArgumentException"> if <tt>freedom <= 0.0</tt>. </exception>
public StudentT(double freedom, RandomEngine randomGenerator)
{
RandomGenerator = randomGenerator;
State = freedom;
}
/// <summary>
/// Constructs a ChiSquare distribution.
/// Example: freedom=1.0. </summary>
/// <param name="freedom"> degrees of freedom. </param>
/// <param name="randomGenerator"> generator </param>
/// <exception cref="IllegalArgumentException"> if <tt>freedom < 1.0</tt>. </exception>
public ChiSquare(double freedom, RandomEngine randomGenerator)
{
RandomGenerator = randomGenerator;
State = freedom;
}
/// <summary>
/// Constructs a normal (gauss) distribution.
/// Example: mean=0.0, standardDeviation=1.0. </summary>
/// <param name="mean"> mean </param>
/// <param name="standardDeviation"> standard deviation </param>
/// <param name="randomGenerator"> generator </param>
public Normal(double mean, double standardDeviation, RandomEngine randomGenerator)
{
RandomGenerator = randomGenerator;
setState(mean, standardDeviation);
}
/// <summary>
/// Constructs and returns a new uniform random number generation engine seeded with the current time.
/// Currently this is <seealso cref="MersenneTwister"/>. </summary>
/// <returns> result </returns>
public static RandomEngine makeDefaultGenerator()
{
return(RandomEngine.makeDefault());
}
