SimpleRandomSampling Class

Provides methods to randomly select samples from a finite population where all samples of a given size share the same probability to be selected.

Definition

Namespace: Novacta.Analytics
Assembly: Novacta.Analytics (in Novacta.Analytics.dll) Version: 2.1.0+428f3840cfab98dda567bb0ed350b302533e273a

C#

public class SimpleRandomSampling : RandomSampling

VB

Public Class SimpleRandomSampling
	Inherits RandomSampling

C++

public ref class SimpleRandomSampling : public RandomSampling

F#

type SimpleRandomSampling = 
    class
        inherit RandomSampling
    end

Inheritance: Object RandomDevice RandomSampling SimpleRandomSampling

Remarks

The current implementation of the SimpleRandomSampling class is based on the Donald E. Knuth's Algorithm S (Selection sampling technique, p. 142)^[1].

Constructors

SimpleRandomSampling

Initializes a new instance of the SimpleRandomSampling class.

Properties

InclusionProbabilities	Gets the inclusion probabilities of the population units. (Overrides RandomSamplingInclusionProbabilities)
PopulationSize	Gets the size of the population from which this instance draws samples. (Overrides RandomSamplingPopulationSize)
RandomNumberGenerator	Gets or sets the basic random generator for this instance. (Inherited from RandomDevice)
SampleSize	Gets the size of the samples drawn by this instance. (Overrides RandomSamplingSampleSize)

Methods

Equals	Determines whether the specified object is equal to the current object. (Inherited from Object)
Finalize	Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object)
GetHashCode	Serves as the default hash function. (Inherited from Object)
GetType	Gets the Type of the current instance. (Inherited from Object)
MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object)
NextDoubleMatrix	Draws a random sample represented as a DoubleMatrix instance. (Overrides RandomSamplingNextDoubleMatrix)
NextIndexCollection	Draws a sample represented as an IndexCollection instance. (Overrides RandomSamplingNextIndexCollection)
ToString	Returns a string that represents the current object. (Inherited from Object)

Bibliography

[1] Knuth, D.E., The Art of Computer Programming, Volume 2: Seminumerical Algorithms, Addison-Wesley, Reading, MA, third edition. (1997)