Package jline.api.lossn

Class Lossn_revsens.MciCI

java.lang.Object

jline.api.lossn.Lossn_revsens.MciCI

Enclosing class:

Lossn_revsens

public static final class Lossn_revsens.MciCI
extends Object

Monte Carlo confidence information returned by the 'mci' method.

Field Summary

Fields

Modifier and Type	Field	Description
double	level	Confidence level 1 - alpha.
Matrix	revsens	Revenue sensitivity point estimate dW/dnu (1xR).
Matrix	revsensCI	Revenue-sensitivity confidence intervals (Rx2).

Constructor Summary

Constructors

Constructor	Description
MciCI(Matrix revsens, Matrix revsensCI, double level)

Method Summary

Methods inherited from class java.lang.Object

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

Field Details

revsens

public Matrix revsens

Revenue sensitivity point estimate dW/dnu (1xR).

revsensCI

public Matrix revsensCI

Revenue-sensitivity confidence intervals (Rx2).

level

public double level

Confidence level 1 - alpha.

Constructor Details

MciCI

public MciCI(Matrix revsens,
 Matrix revsensCI,
 double level)