repicea.stats.estimates

Class PopulationTotalEstimate

java.lang.Object

repicea.stats.RandomVariable<D>

repicea.stats.estimates.Estimate<GaussianDistribution>

repicea.stats.estimates.PointEstimate<PopulationUnitWithUnequalInclusionProbability>

repicea.stats.estimates.PopulationTotalEstimate

All Implemented Interfaces:

java.io.Serializable, CentralMomentsGettable

public class PopulationTotalEstimate
extends PointEstimate<PopulationUnitWithUnequalInclusionProbability>

This class implements the classical Horvitz-Thompson estimator of the total (tau) in a context of random sampling WITHOUT replacement.

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class repicea.stats.estimates.Estimate

Estimate.EstimatorType

Field Summary

Fields inherited from class repicea.stats.estimates.PointEstimate

nCols, nRows

Fields inherited from class repicea.stats.estimates.Estimate

estimatorType, rowIndex

Constructor Summary

Constructors

Constructor and Description
PopulationTotalEstimate() Constructor.
PopulationTotalEstimate(double populationSize) Constructor with population size.

Method Summary

Modifier and Type	Method and Description
protected PopulationTotalEstimate	add(PointEstimate<?> pointEstimate)
Matrix	getMean() This method returns the value of the Horvitz-Thompson estimator (tau hat).
Matrix	getVariance() This method returns the variance of the tau estimate.
protected boolean	isMergeableEstimate(Estimate<?> estimate) This method checks if the two point estimates are compatible.
protected PopulationTotalEstimate	multiply(double scalar)
protected PopulationTotalEstimate	subtract(PointEstimate<?> pointEstimate)

Methods inherited from class repicea.stats.estimates.PointEstimate

addObservation, getConfidenceIntervalBounds, getObservations, getPopulationSize, getQuantileForProbability, isPopulationSizeKnown

Methods inherited from class repicea.stats.estimates.Estimate

getDifferenceEstimate, getEstimatorType, getProductEstimate, getProductEstimate, getProductOfManyEstimates, getRandomDeviate, getRowIndex, getSumEstimate, setRowIndex

Methods inherited from class repicea.stats.RandomVariable

getDistribution

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

PopulationTotalEstimate

public PopulationTotalEstimate()

Constructor.

PopulationTotalEstimate

public PopulationTotalEstimate(double populationSize)

Constructor with population size.

Parameters:

populationSize - the number of units in the population

Method Detail

getMean

public Matrix getMean()

This method returns the value of the Horvitz-Thompson estimator (tau hat).

Specified by:

getMean in interface CentralMomentsGettable

Overrides:

getMean in class RandomVariable<GaussianDistribution>

Returns:

a Matrix instance

getVariance

public Matrix getVariance()

This method returns the variance of the tau estimate.

Specified by:

getVariance in interface CentralMomentsGettable

Overrides:

getVariance in class RandomVariable<GaussianDistribution>

Returns:

a Matrix

isMergeableEstimate

protected boolean isMergeableEstimate(Estimate<?> estimate)

Description copied from class: Estimate

This method checks if the two point estimates are compatible. The basic check consists of comparing the classes. Then, the matrix data is checked for consistency with previous data.

Overrides:

isMergeableEstimate in class PointEstimate<PopulationUnitWithUnequalInclusionProbability>

Returns:

a boolean

add

protected PopulationTotalEstimate add(PointEstimate<?> pointEstimate)

Specified by:

add in class PointEstimate<PopulationUnitWithUnequalInclusionProbability>

subtract

protected PopulationTotalEstimate subtract(PointEstimate<?> pointEstimate)

Specified by:

subtract in class PointEstimate<PopulationUnitWithUnequalInclusionProbability>

multiply

protected PopulationTotalEstimate multiply(double scalar)

Specified by:

multiply in class PointEstimate<PopulationUnitWithUnequalInclusionProbability>