edu.umn.cs.spatialHadoop

Class Estimator<Y>

java.lang.Object

edu.umn.cs.spatialHadoop.Estimator<Y>

public class Estimator<Y>
extends java.lang.Object

Estimates a given value by taking a random sample from sample space until the confidence interval of the calculated value is acceptable

Author:

eldawy

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static interface	Estimator.QualityControl<Y> Given a confidence interval for the calculated value, determine whether this is good enough or we need to sample more data.
static interface	Estimator.RandomSample An interface implemented by the user to provide a source of values to be used in the estimate
static class	Estimator.Range<Y> Stores a range of calculated values
static interface	Estimator.UserFunction<Y> An interface implemented by the user to provide a calculated value given an estimate for the random variable X.

Field Summary

Fields

Modifier and Type	Field and Description
protected double	alpha A value from [0, 1] to determine how large is the confidence interval needed.
protected Estimator.QualityControl<Y>	qualityControl Determines whether the current interval for the target value is good
protected Estimator.RandomSample	randomSample A source of values coming from a random sample
protected Estimator.UserFunction<Y>	userFunction The user provided function that calculates the value the user wants
protected double	z The percentile of the normal distribution corresponding to conifdence

Constructor Summary

Constructors

Constructor and Description
Estimator(double alpha)

Method Summary

Methods

Modifier and Type	Method and Description
double	getAlpha()
Estimator.Range<Y>	getEstimate()
static void	main(java.lang.String[] args)
void	setConfidence(float confidence)
void	setQualityControl(Estimator.QualityControl<Y> qualityControl)
void	setRandomSample(Estimator.RandomSample randomSample)
void	setUserFunction(Estimator.UserFunction<Y> userFunction)

Methods inherited from class java.lang.Object

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

Field Detail

alpha

protected double alpha

A value from [0, 1] to determine how large is the confidence interval needed. A value closer to zero gives a narrow interval. For example, setting this value to 0.05 returns a 95% confidence interval.

z

protected double z

The percentile of the normal distribution corresponding to conifdence

randomSample

protected Estimator.RandomSample randomSample

A source of values coming from a random sample

userFunction

protected Estimator.UserFunction<Y> userFunction

The user provided function that calculates the value the user wants

qualityControl

protected Estimator.QualityControl<Y> qualityControl

Determines whether the current interval for the target value is good

Constructor Detail

Estimator

public Estimator(double alpha)

Method Detail

getAlpha

public double getAlpha()

setConfidence

public void setConfidence(float confidence)

setRandomSample

public void setRandomSample(Estimator.RandomSample randomSample)

setUserFunction

public void setUserFunction(Estimator.UserFunction<Y> userFunction)

setQualityControl

public void setQualityControl(Estimator.QualityControl<Y> qualityControl)

getEstimate

public Estimator.Range<Y> getEstimate()

main

public static void main(java.lang.String[] args)