protected override void EndProcessing()
{
var dist = new WeibullDistribution(Shape, Scale);
var obj = DistributionHelper.AddConvinienceMethods(dist);
WriteObject(obj);
}
protected override void EndProcessing()
{
var dist = new BernoulliDistribution(Mean);
var obj = DistributionHelper.AddConvinienceMethods(dist);
WriteObject(obj);
}
protected override void EndProcessing()
{
var dist = new TDistribution(DegreesOfFreedom);
var obj = DistributionHelper.AddConvinienceMethods(dist);
WriteObject(obj);
}
protected override void EndProcessing()
{
var dist = new UniformDiscreteDistribution(Minimum, Maximum);
var obj = DistributionHelper.AddConvinienceMethods(dist);
WriteObject(obj);
}
protected override void EndProcessing()
{
var dist = new NormalDistribution(Mean, StandardDeviation);
var obj = DistributionHelper.AddConvinienceMethods(dist);
WriteObject(obj);
}
protected override void EndProcessing()
{
var dist = new PoissonDistribution(Lambda);
var obj = DistributionHelper.AddConvinienceMethods(dist);
WriteObject(obj);
}
protected override void EndProcessing()
{
var dist = new LognormalDistribution(MeanLog, ScaleLog);
var obj = DistributionHelper.AddConvinienceMethods(dist);
WriteObject(obj);
}
protected override void EndProcessing()
{
var dist = new NegativeBinomialDistribution(Failures, Probability);
var obj = DistributionHelper.AddConvinienceMethods(dist);
WriteObject(obj);
}
protected override void EndProcessing()
{
var dist = new HypergeometricDistribution(PopulationSize, Successes, Samples);
var obj = DistributionHelper.AddConvinienceMethods(dist);
WriteObject(obj);
}
protected override void EndProcessing()
{
var dist = new LogisticDistribution(Location, Scale);
var obj = DistributionHelper.AddConvinienceMethods(dist);
WriteObject(obj);
}
protected override void EndProcessing()
{
var dist = new GeometricDistribution(ProbabilityOfSuccess);
var obj = DistributionHelper.AddConvinienceMethods(dist);
WriteObject(obj);
}
protected override void EndProcessing()
{
var dist = new GammaDistribution(Theta, K);
var obj = DistributionHelper.AddConvinienceMethods(dist);
WriteObject(obj);
}
protected override void EndProcessing()
{
var dist = new ExponentialDistribution(Rate);
var obj = DistributionHelper.AddConvinienceMethods(dist);
WriteObject(obj);
}
protected override void EndProcessing()
{
BetaDistribution dist;
if (ParameterSetName == "Alpha")
{
dist = new BetaDistribution(Alpha, Beta);
}
else
{
dist = new BetaDistribution(Successes, Trials);
}
var obj = DistributionHelper.AddConvinienceMethods(dist);
WriteObject(obj);
}
protected override void EndProcessing()
{
EmpiricalDistribution dist;
if (double.IsNaN(Smoothing))
{
dist = new EmpiricalDistribution(_data.ToArray());
}
else
{
dist = new EmpiricalDistribution(_data.ToArray(), Smoothing);
}
var obj = DistributionHelper.AddConvinienceMethods(dist);
WriteObject(obj);
}