RandomSampling Class

public abstract class RandomSampling : RandomDevice

Public MustInherit Class RandomSampling
	Inherits RandomDevice

public ref class RandomSampling abstract : public RandomDevice

[<AbstractClassAttribute>]
type RandomSampling = 
    class
        inherit RandomDevice
    end

Inheritance

Object    RandomDevice    RandomSampling

Derived

Novacta.AnalyticsSimpleRandomSampling

Novacta.AnalyticsUnequalProbabilityRandomSampling

A finite population of size can be defined as the set . Elements of are referred to as units. Property PopulationSize should return the size of the population.

A sample is every non empty subset of . Class RandomSampling exposes several methods to draw samples having size returned by SampleSize from a finite population.

Method NextIndexCollection returns a sample which is represented as an IndexCollection instance having Count equal to SampleSize and whose indexes are less than PopulationSize .

Method NextDoubleMatrix returns a sample represented as a DoubleMatrix instance, having one row and a number of columns equal to PopulationSize. In this context, the sample is the set of linear indexes corresponding to entries in the returned matrix equal to 1, other entries storing 0 otherwise. For an introduction to linear indexes, see the remarks of the DoubleMatrix class.

Reference