UnequalProbabilityRandomSampling Class

public class UnequalProbabilityRandomSampling : RandomSampling

Public Class UnequalProbabilityRandomSampling
	Inherits RandomSampling

public ref class UnequalProbabilityRandomSampling : public RandomSampling

type UnequalProbabilityRandomSampling = 
    class
        inherit RandomSampling
    end

Inheritance

Object    RandomDevice    RandomSampling    UnequalProbabilityRandomSampling

The current implementation of the UnequalProbabilityRandomSampling class is based on the sampling scheme proposed by Chen et al. (Procedure 1)^[1].

Instantiation

Method FromInclusionProbabilities(DoubleMatrix) creates UnequalProbabilityRandomSampling instances by specifying, for each population unit, its probability of being included in a sample. In this case, the sample size is defined as the sum of such probabilities.

Method FromBernoulliProbabilities(DoubleMatrix, Int32) creates instances by assigning to each unit an independent Bernoulli random variable and sampling from the distribution of the sum of the corresponding Bernoulli trials conditional to having exactly SampleSize successes.

Reference