Package elki.math.statistics.distribution.estimator

Class UniformEnhancedMinMaxEstimator

java.lang.Object

elki.math.statistics.distribution.estimator.UniformEnhancedMinMaxEstimator

All Implemented Interfaces:

DistributionEstimator<UniformDistribution>

public class UniformEnhancedMinMaxEstimator
extends java.lang.Object
implements DistributionEstimator<UniformDistribution>

Slightly improved estimation, that takes sample size into account and enhances the interval appropriately.

Since:

0.6.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	UniformEnhancedMinMaxEstimator.Par	Parameterization class.

Field Summary

Fields

Modifier and Type	Field	Description
static UniformEnhancedMinMaxEstimator	STATIC	Slightly more refined estimator: takes sample size into account.

Constructor Summary

Constructors

Modifier	Constructor	Description
private	UniformEnhancedMinMaxEstimator()	Constructor.

Method Summary

Modifier and Type	Method	Description
UniformDistribution	estimate(double min, double max, int count)	Estimate from simple characteristics.
<A> UniformDistribution	estimate(A data, NumberArrayAdapter<?,A> adapter)	General form of the parameter estimation
java.lang.Class<? super UniformDistribution>	getDistributionClass()	Get the class that is produced by the estimator.
java.lang.String	toString()

Methods inherited from class java.lang.Object

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

Methods inherited from interface elki.math.statistics.distribution.estimator.DistributionEstimator

estimate

Field Detail

STATIC

public static final UniformEnhancedMinMaxEstimator STATIC

Slightly more refined estimator: takes sample size into account.

Constructor Detail

UniformEnhancedMinMaxEstimator

private UniformEnhancedMinMaxEstimator()

Constructor. Private: use static instance!

Method Detail

estimate

public <A> UniformDistribution estimate(A data,
                                        NumberArrayAdapter<?,A> adapter)

Description copied from interface: DistributionEstimator

General form of the parameter estimation

Specified by:

estimate in interface DistributionEstimator<UniformDistribution>

Parameters:

data - Data set

adapter - Number array adapter

Returns:

Estimated distribution

estimate

public UniformDistribution estimate(double min,
                                    double max,
                                    int count)

Estimate from simple characteristics.

Parameters:

min - Minimum

max - Maximum

count - Number of observations

Returns:

Distribution

getDistributionClass

public java.lang.Class<? super UniformDistribution> getDistributionClass()

Description copied from interface: DistributionEstimator

Get the class that is produced by the estimator.

Specified by:

getDistributionClass in interface DistributionEstimator<UniformDistribution>

Returns:

Distribution class

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object