repicea.stats.estimates

Class PopulationMeanEstimate

java.lang.Object

repicea.stats.RandomVariable<D>

repicea.stats.estimates.Estimate<GaussianDistribution>

repicea.stats.estimates.PointEstimate<PopulationUnitWithEqualInclusionProbability>

repicea.stats.estimates.PopulationMeanEstimate

All Implemented Interfaces:

java.io.Serializable, CentralMomentsGettable

public class PopulationMeanEstimate
extends PointEstimate<PopulationUnitWithEqualInclusionProbability>

This class implements an estimator of the mean of the population, which is the sample mean and the sample variance corrected by n/(n-1) being the estimator of the variance.

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
PopulationMeanEstimate() Basic constructor without population size.
PopulationMeanEstimate(double populationSize) Constructor with population size.

Method Summary

Modifier and Type	Method and Description
protected PopulationMeanEstimate	add(PointEstimate<?> pointEstimate)
void	addObservation(PopulationUnitWithEqualInclusionProbability obs) This method adds an observation to the sample.
Matrix	getMean() This method returns the first central moment, i.e.
Matrix	getRandomDeviate() This method returns a random deviate from this estimate.
Matrix	getVariance() This method returns the second central moment, i.e.
protected PopulationMeanEstimate	multiply(double scalar)
protected PopulationMeanEstimate	subtract(PointEstimate<?> pointEstimate)

Methods inherited from class repicea.stats.estimates.PointEstimate

getConfidenceIntervalBounds, getObservations, getPopulationSize, getQuantileForProbability, isMergeableEstimate, isPopulationSizeKnown

Methods inherited from class repicea.stats.estimates.Estimate

getDifferenceEstimate, getEstimatorType, getProductEstimate, getProductEstimate, getProductOfManyEstimates, 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

PopulationMeanEstimate

public PopulationMeanEstimate()

Basic constructor without population size.

PopulationMeanEstimate

public PopulationMeanEstimate(double populationSize)

Constructor with population size.

Parameters:

populationSize - the number of units in the population.

Method Detail

getMean

public Matrix getMean()

Description copied from interface: CentralMomentsGettable

This method returns the first central moment, i.e. the mean vector, of the random variable.

Specified by:

getMean in interface CentralMomentsGettable

Overrides:

getMean in class RandomVariable<GaussianDistribution>

Returns:

a Matrix instance

getVariance

public Matrix getVariance()

Description copied from interface: CentralMomentsGettable

This method returns the second central moment, i.e. the variance-covariance matrix, of the random variable.

Specified by:

getVariance in interface CentralMomentsGettable

Overrides:

getVariance in class RandomVariable<GaussianDistribution>

Returns:

a Number instance

getRandomDeviate

public Matrix getRandomDeviate()

Description copied from class: Estimate

This method returns a random deviate from this estimate. This method is useful for Monte Carlo simulations.

Overrides:

getRandomDeviate in class Estimate<GaussianDistribution>

Returns:

a deviate from the underlying distribution as a Matrix instance

addObservation

public void addObservation(PopulationUnitWithEqualInclusionProbability obs)

Description copied from class: PointEstimate

This method adds an observation to the sample.

Overrides:

addObservation in class PointEstimate<PopulationUnitWithEqualInclusionProbability>

Parameters:

obs - a PopulationUnitObservation instance

add

protected PopulationMeanEstimate add(PointEstimate<?> pointEstimate)

Specified by:

add in class PointEstimate<PopulationUnitWithEqualInclusionProbability>

subtract

protected PopulationMeanEstimate subtract(PointEstimate<?> pointEstimate)

Specified by:

subtract in class PointEstimate<PopulationUnitWithEqualInclusionProbability>

multiply

protected PopulationMeanEstimate multiply(double scalar)

Specified by:

multiply in class PointEstimate<PopulationUnitWithEqualInclusionProbability>