Package jsl.utilities.random.rvariable
Class BivariateNormalRV
- java.lang.Object
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- jsl.utilities.random.rvariable.AbstractMVRVariable
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- jsl.utilities.random.rvariable.BivariateNormalRV
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- All Implemented Interfaces:
GetNameIfc,IdentityIfc,GetRandomNumberStreamIfc,RNStreamControlIfc,SetRandomNumberStreamIfc,MVRVariableIfc,MVSampleIfc
public class BivariateNormalRV extends AbstractMVRVariable
Allows for the generation of bi-variate normal random variables
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Field Summary
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Fields inherited from class jsl.utilities.random.rvariable.AbstractMVRVariable
myRNG
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Constructor Summary
Constructors Constructor Description BivariateNormalRV()Constructs a standard bi-variate normal with no correlationBivariateNormalRV(double mean1, double var1, double mean2, double var2, double rho)BivariateNormalRV(double mean1, double var1, double mean2, double var2, double rho, int streamNum)Constructs a bi-variate normal with the provided parametersBivariateNormalRV(double mean1, double var1, double mean2, double var2, double rho, RNStreamIfc rng)Constructs a bi-variate normal with the provided parametersBivariateNormalRV(RNStreamIfc rng)Constructs a standard bi-variate normal with no correlation
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description doublegetCorrelation()Gets the correlationdoublegetMean1()Gets the first meandoublegetMean2()Gets the second meandoublegetVariance1()Gets the first variancedoublegetVariance2()Gets the 2nd varianceMVRVariableIfcnewInstance(RNStreamIfc rng)double[]sample()java.lang.StringtoString()-
Methods inherited from class jsl.utilities.random.rvariable.AbstractMVRVariable
advanceToNextSubstream, getAntitheticOption, getId, getName, getRandomNumberStream, resetStartStream, resetStartSubstream, setAntitheticOption, setName, setRandomNumberStream
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Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Methods inherited from interface jsl.utilities.random.rng.GetRandomNumberStreamIfc
getStreamNumber
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Methods inherited from interface jsl.utilities.random.rvariable.MVRVariableIfc
newInstance
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Methods inherited from interface jsl.utilities.random.rvariable.MVSampleIfc
sample, sample
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Methods inherited from interface jsl.utilities.random.rng.SetRandomNumberStreamIfc
setRandomNumberStream
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Constructor Detail
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BivariateNormalRV
public BivariateNormalRV()
Constructs a standard bi-variate normal with no correlation
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BivariateNormalRV
public BivariateNormalRV(RNStreamIfc rng)
Constructs a standard bi-variate normal with no correlation
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BivariateNormalRV
public BivariateNormalRV(double mean1, double var1, double mean2, double var2, double rho)- Parameters:
mean1- mean of first coordinatevar1- variance of first coordinatemean2- mean of 2nd coordinatevar2- variance of 2nd coordinaterho- correlation between X1 and X2
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BivariateNormalRV
public BivariateNormalRV(double mean1, double var1, double mean2, double var2, double rho, int streamNum)Constructs a bi-variate normal with the provided parameters- Parameters:
mean1- mean of first coordinatevar1- variance of first coordinatemean2- mean of 2nd coordinatevar2- variance of 2nd coordinaterho- correlation between X1 and X2streamNum- the stream number
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BivariateNormalRV
public BivariateNormalRV(double mean1, double var1, double mean2, double var2, double rho, RNStreamIfc rng)Constructs a bi-variate normal with the provided parameters- Parameters:
mean1- mean of first coordinatevar1- variance of first coordinatemean2- mean of 2nd coordinatevar2- variance of 2nd coordinaterho- correlation between X1 and X2rng- the RNStreamIfc
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Method Detail
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getMean1
public final double getMean1()
Gets the first mean- Returns:
- the first mean
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getVariance1
public final double getVariance1()
Gets the first variance- Returns:
- the first variance
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getMean2
public final double getMean2()
Gets the second mean- Returns:
- the second mean
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getVariance2
public final double getVariance2()
Gets the 2nd variance- Returns:
- the 2nd variance
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getCorrelation
public final double getCorrelation()
Gets the correlation- Returns:
- the correlation
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sample
public final double[] sample()
- Returns:
- generates an array of random values
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toString
public java.lang.String toString()
- Overrides:
toStringin classjava.lang.Object
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newInstance
public final MVRVariableIfc newInstance(RNStreamIfc rng)
- Parameters:
rng- the RngIfc to use- Returns:
- a new instance with same parameter value
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