repicea.stats.estimates

Class SimpleEstimate

java.lang.Object

repicea.stats.RandomVariable<D>

repicea.stats.estimates.Estimate<UnknownDistribution>

repicea.stats.estimates.SimpleEstimate

All Implemented Interfaces:

java.io.Serializable, CentralMomentsGettable, CentralMomentsSettable

Direct Known Subclasses:

CorrelationEstimate

public class SimpleEstimate
extends Estimate<UnknownDistribution>
implements CentralMomentsSettable, java.io.Serializable

The Estimate class is the general class for all estimates.

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.Estimate

estimatorType, rowIndex

Constructor Summary

Constructors

Constructor and Description
SimpleEstimate() Public constructor 1 for derived classes.
SimpleEstimate(Matrix mean, Matrix variance) Public constructor 2 with mean and variance

Method Summary

Modifier and Type	Method and Description
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
void	setMean(Matrix mean) This method sets the mean vector of the random variable.
void	setVariance(Matrix variance) This method sets the variance-covariance matrix of the random variable.

Methods inherited from class repicea.stats.estimates.Estimate

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

Constructor Detail

SimpleEstimate

public SimpleEstimate()

Public constructor 1 for derived classes.

SimpleEstimate

public SimpleEstimate(Matrix mean,
                      Matrix variance)

Public constructor 2 with mean and variance

Parameters:

mean - a Matrix instance

variance - a Matrix instance

Method Detail

setMean

public void setMean(Matrix mean)

Description copied from interface: CentralMomentsSettable

This method sets the mean vector of the random variable.

Specified by:

setMean in interface CentralMomentsSettable

Parameters:

mean - a Matrix instance

setVariance

public void setVariance(Matrix variance)

Description copied from interface: CentralMomentsSettable

This method sets the variance-covariance matrix of the random variable.

Specified by:

setVariance in interface CentralMomentsSettable

Parameters:

variance - a Matrix instance

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<UnknownDistribution>

Parameters:

oneMinusAlpha - is 1 minus the probability of Type I error

Returns:

a ConfidenceInterval instance