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java.lang.Objectumontreal.iro.lecuyer.probdist.ContinuousDistribution2Dim
public abstract class ContinuousDistribution2Dim
Classes implementing 2-dimensionnal continuous distributions should inherit from this class. Such distributions are characterized by a density function f (x, y), thus the signature of a density method is supplied here. This class also provides a default implementation of bar(F)(x, y), the upper CDF. The inverse function F-1(u) represents a curve y = h(x) of constant u. Thus it is not implemented here. The integer decPrec defines the target number of decimals of precision when approximating a distribution function, but there is no guarantee that this target is always attained.
| Field Summary | |
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int |
decPrec
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| Constructor Summary | |
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ContinuousDistribution2Dim()
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| Method Summary | |
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double |
barF(double x,
double y)
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abstract double |
cdf(double x,
double y)
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abstract double |
density(double x,
double y)
Returns f (x, y), the density of (X, Y) evaluated at (x, y). |
| Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
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public int decPrec
| Constructor Detail |
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public ContinuousDistribution2Dim()
| Method Detail |
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public abstract double density(double x,
double y)
x - value x at which the density is evaluatedy - value y at which the density is evaluated
public abstract double cdf(double x,
double y)
x - value x at which the distribution function is evaluatedy - value y at which the distribution function is evaluated
public double barF(double x,
double y)
x - value x at which the upper distribution is evaluatedy - value y at which the upper distribution is evaluated
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SSJ V. 1.2.0. |
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