repicea.stats.estimates

Class PointEstimate<O extends PopulationUnit>

java.lang.Object

repicea.stats.RandomVariable<D>

repicea.stats.estimates.Estimate<GaussianDistribution>

repicea.stats.estimates.PointEstimate<O>

All Implemented Interfaces:

java.io.Serializable, CentralMomentsGettable

Direct Known Subclasses:

PopulationMeanEstimate, PopulationTotalEstimate

public abstract class PointEstimate<O extends PopulationUnit>
extends Estimate<GaussianDistribution>

See Also:

Serialized Form

Nested Class Summary

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

Estimate.EstimatorType

Field Summary

Fields

Modifier and Type	Field and Description
protected int	nCols
protected int	nRows

Fields inherited from class repicea.stats.estimates.Estimate

estimatorType, rowIndex

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	PointEstimate() Basic constructor without population size.
protected	PointEstimate(double populationSize) Constructor with population size.

Method Summary

Modifier and Type	Method and Description
protected abstract PointEstimate<?>	add(PointEstimate<?> pointEstimate)
void	addObservation(O obs) This method adds an observation to the sample.
ConfidenceInterval	getConfidenceIntervalBounds(double oneMinusAlpha) This method returns the probability of getting a lower valueand upper bound of a confidence intervals at probability level 1 - alpha
protected java.util.List<O>	getObservations()
double	getPopulationSize()
protected Matrix	getQuantileForProbability(double probability)
protected boolean	isMergeableEstimate(Estimate<?> estimate) This method checks if the two point estimates are compatible.
boolean	isPopulationSizeKnown()
protected abstract PointEstimate<?>	multiply(double scalar)
protected abstract PointEstimate<?>	subtract(PointEstimate<?> pointEstimate)

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, getMean, getVariance

Methods inherited from class java.lang.Object

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

Field Detail

nRows

protected int nRows

nCols

protected int nCols

Constructor Detail

PointEstimate

protected PointEstimate()

Basic constructor without population size.

PointEstimate

protected PointEstimate(double populationSize)

Constructor with population size.

Parameters:

populationSize - the number of units in the population.

Method Detail

addObservation

public void addObservation(O obs)

This method adds an observation to the sample.

Parameters:

obs - a PopulationUnitObservation instance

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 Estimate<GaussianDistribution>

Returns:

a boolean

getObservations

protected java.util.List<O> getObservations()

isPopulationSizeKnown

public boolean isPopulationSizeKnown()

getPopulationSize

public double getPopulationSize()

getQuantileForProbability

protected Matrix getQuantileForProbability(double probability)

getConfidenceIntervalBounds

public ConfidenceInterval getConfidenceIntervalBounds(double oneMinusAlpha)

Description copied from class: Estimate

This method returns the probability of getting a lower valueand upper bound of a confidence intervals at probability level 1 - alpha

Specified by:

getConfidenceIntervalBounds in class Estimate<GaussianDistribution>

Parameters:

oneMinusAlpha - is 1 minus the probability of Type I error

Returns:

a ConfidenceInterval instance

add

protected abstract PointEstimate<?> add(PointEstimate<?> pointEstimate)

subtract

protected abstract PointEstimate<?> subtract(PointEstimate<?> pointEstimate)

multiply

protected abstract PointEstimate<?> multiply(double scalar)