rp.estimate
Class DeterministicEstimate

java.lang.Object
  |
  +--rp.estimate.Estimate
        |
        +--rp.estimate.DeterministicEstimate

public class DeterministicEstimate

extends Estimate

An estimate that is known exactly with no uncertainty.

Version:

$Revision: 1.2 $, $Date: 2001/05/23 18:42:13 $

Constructor Summary

DeterministicEstimate(double mean)
Constructs a DeterministicEstimate with the given mean.

Method Summary

double	getCI(double ci) Returns a confidence interval on this estimate.
double	getMean() Returns the mean value of this estimate.
double	getSdev() Returns the standard deviation of this estimate.
double	getVariance() Returns the variance of this estimate.
void	setMean(double mean) Sets the mean value of this estimate.

Methods inherited from class java.lang.Object

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

Constructor Detail

DeterministicEstimate

public DeterministicEstimate(double mean)

Constructs a DeterministicEstimate with the given mean.

Parameters:

mean - the initial mean value for this estimate

Method Detail

setMean

public void setMean(double mean)

Sets the mean value of this estimate.

Parameters:

mean - the new mean value

getMean

public double getMean()

Description copied from class: Estimate

Returns the mean value of this estimate.

Specified by:

getMean in class Estimate

Returns:

the mean value of this estimate

getVariance

public double getVariance()

Description copied from class: Estimate

Returns the variance of this estimate.

Overrides:

getVariance in class Estimate

Returns:

the variance of this estimate

getSdev

public double getSdev()

Description copied from class: Estimate

Returns the standard deviation of this estimate.

Overrides:

getSdev in class Estimate

Returns:

the standard deviation of this estimate

getCI

public double getCI(double ci)
             throws UndefinedException

Description copied from class: Estimate

Returns a confidence interval on this estimate. Returns the value x such that the probability that for a randomly-sampled y from this estiamte, Prob[x <= y] = ci;

Overrides:

getCI in class Estimate

Parameters:

ci - a probability 0 <= ci <= 1.

Returns:

the value at the given confidence.

Throws:

UndefinedException - ci not defined for certain types of distributions