public class org.apache.commons.math.distribution.WeibullDistribution extends org.apache.commons.math.distribution.AbstractRealDistribution
{
public static final double DEFAULT_INVERSE_ABSOLUTE_ACCURACY;
private static final long serialVersionUID;
private final double shape;
private final double scale;
private final double solverAbsoluteAccuracy;
private double numericalMean;
private boolean numericalMeanIsCalculated;
private double numericalVariance;
private boolean numericalVarianceIsCalculated;
public void <init>(double, double) throws org.apache.commons.math.exception.NotStrictlyPositiveException
{
org.apache.commons.math.distribution.WeibullDistribution v;
double v, v;
v := @this: org.apache.commons.math.distribution.WeibullDistribution;
v := @parameter: double;
v := @parameter: double;
specialinvoke v.<org.apache.commons.math.distribution.WeibullDistribution: void <init>(double,double,double)>(v, v, 1.0E-9);
return;
}
public void <init>(double, double, double)
{
org.apache.commons.math.random.Well19937c v;
org.apache.commons.math.distribution.WeibullDistribution v;
double v, v, v;
v := @this: org.apache.commons.math.distribution.WeibullDistribution;
v := @parameter: double;
v := @parameter: double;
v := @parameter: double;
v = new org.apache.commons.math.random.Well19937c;
specialinvoke v.<org.apache.commons.math.random.Well19937c: void <init>()>();
specialinvoke v.<org.apache.commons.math.distribution.WeibullDistribution: void <init>(org.apache.commons.math.random.RandomGenerator,double,double,double)>(v, v, v, v);
return;
}
public void <init>(org.apache.commons.math.random.RandomGenerator, double, double, double) throws org.apache.commons.math.exception.NotStrictlyPositiveException
{
org.apache.commons.math.exception.util.LocalizedFormats v, v;
java.lang.Double v, v;
org.apache.commons.math.distribution.WeibullDistribution v;
org.apache.commons.math.exception.NotStrictlyPositiveException v, v;
byte v, v;
org.apache.commons.math.random.RandomGenerator v;
double v, v, v;
v := @this: org.apache.commons.math.distribution.WeibullDistribution;
v := @parameter: org.apache.commons.math.random.RandomGenerator;
v := @parameter: double;
v := @parameter: double;
v := @parameter: double;
specialinvoke v.<org.apache.commons.math.distribution.AbstractRealDistribution: void <init>(org.apache.commons.math.random.RandomGenerator)>(v);
v.<org.apache.commons.math.distribution.WeibullDistribution: double numericalMean> = #NaN;
v.<org.apache.commons.math.distribution.WeibullDistribution: boolean numericalMeanIsCalculated> = 0;
v.<org.apache.commons.math.distribution.WeibullDistribution: double numericalVariance> = #NaN;
v.<org.apache.commons.math.distribution.WeibullDistribution: boolean numericalVarianceIsCalculated> = 0;
v = v cmpg 0.0;
if v > 0 goto label;
v = new org.apache.commons.math.exception.NotStrictlyPositiveException;
v = <org.apache.commons.math.exception.util.LocalizedFormats: org.apache.commons.math.exception.util.LocalizedFormats SHAPE>;
v = staticinvoke <java.lang.Double: java.lang.Double valueOf(double)>(v);
specialinvoke v.<org.apache.commons.math.exception.NotStrictlyPositiveException: void <init>(org.apache.commons.math.exception.util.Localizable,java.lang.Number)>(v, v);
throw v;
label:
v = v cmpg 0.0;
if v > 0 goto label;
v = new org.apache.commons.math.exception.NotStrictlyPositiveException;
v = <org.apache.commons.math.exception.util.LocalizedFormats: org.apache.commons.math.exception.util.LocalizedFormats SCALE>;
v = staticinvoke <java.lang.Double: java.lang.Double valueOf(double)>(v);
specialinvoke v.<org.apache.commons.math.exception.NotStrictlyPositiveException: void <init>(org.apache.commons.math.exception.util.Localizable,java.lang.Number)>(v, v);
throw v;
label:
v.<org.apache.commons.math.distribution.WeibullDistribution: double scale> = v;
v.<org.apache.commons.math.distribution.WeibullDistribution: double shape> = v;
v.<org.apache.commons.math.distribution.WeibullDistribution: double solverAbsoluteAccuracy> = v;
return;
}
public double getShape()
{
org.apache.commons.math.distribution.WeibullDistribution v;
double v;
v := @this: org.apache.commons.math.distribution.WeibullDistribution;
v = v.<org.apache.commons.math.distribution.WeibullDistribution: double shape>;
return v;
}
public double getScale()
{
org.apache.commons.math.distribution.WeibullDistribution v;
double v;
v := @this: org.apache.commons.math.distribution.WeibullDistribution;
v = v.<org.apache.commons.math.distribution.WeibullDistribution: double scale>;
return v;
}
public double density(double)
{
byte v;
double v, v, v, v, v, v, v, v, v, v, v, v, v, v;
org.apache.commons.math.distribution.WeibullDistribution v;
v := @this: org.apache.commons.math.distribution.WeibullDistribution;
v := @parameter: double;
v = v cmpg 0.0;
if v >= 0 goto label;
return 0.0;
label:
v = v.<org.apache.commons.math.distribution.WeibullDistribution: double scale>;
v = v / v;
v = v.<org.apache.commons.math.distribution.WeibullDistribution: double shape>;
v = v - 1.0;
v = staticinvoke <org.apache.commons.math.util.FastMath: double pow(double,double)>(v, v);
v = v * v;
v = v.<org.apache.commons.math.distribution.WeibullDistribution: double shape>;
v = v.<org.apache.commons.math.distribution.WeibullDistribution: double scale>;
v = v / v;
v = v * v;
v = neg v;
v = staticinvoke <org.apache.commons.math.util.FastMath: double exp(double)>(v);
v = v * v;
return v;
}
public double cumulativeProbability(double)
{
org.apache.commons.math.distribution.WeibullDistribution v;
byte v;
double v, v, v, v, v, v, v, v;
v := @this: org.apache.commons.math.distribution.WeibullDistribution;
v := @parameter: double;
v = v cmpg 0.0;
if v > 0 goto label;
v = 0.0;
goto label;
label:
v = v.<org.apache.commons.math.distribution.WeibullDistribution: double scale>;
v = v / v;
v = v.<org.apache.commons.math.distribution.WeibullDistribution: double shape>;
v = staticinvoke <org.apache.commons.math.util.FastMath: double pow(double,double)>(v, v);
v = neg v;
v = staticinvoke <org.apache.commons.math.util.FastMath: double exp(double)>(v);
v = 1.0 - v;
label:
return v;
}
public double inverseCumulativeProbability(double)
{
java.lang.Double v, v, v;
org.apache.commons.math.exception.OutOfRangeException v;
byte v, v, v, v;
double v, v, v, v, v, v, v, v, v;
org.apache.commons.math.distribution.WeibullDistribution v;
v := @this: org.apache.commons.math.distribution.WeibullDistribution;
v := @parameter: double;
v = v cmpg 0.0;
if v < 0 goto label;
v = v cmpl 1.0;
if v <= 0 goto label;
label:
v = new org.apache.commons.math.exception.OutOfRangeException;
v = staticinvoke <java.lang.Double: java.lang.Double valueOf(double)>(v);
v = staticinvoke <java.lang.Double: java.lang.Double valueOf(double)>(0.0);
v = staticinvoke <java.lang.Double: java.lang.Double valueOf(double)>(1.0);
specialinvoke v.<org.apache.commons.math.exception.OutOfRangeException: void <init>(java.lang.Number,java.lang.Number,java.lang.Number)>(v, v, v);
throw v;
label:
v = v cmpl 0.0;
if v != 0 goto label;
v = 0.0;
goto label;
label:
v = v cmpl 1.0;
if v != 0 goto label;
v = #Infinity;
goto label;
label:
v = v.<org.apache.commons.math.distribution.WeibullDistribution: double scale>;
v = 1.0 - v;
v = staticinvoke <org.apache.commons.math.util.FastMath: double log(double)>(v);
v = neg v;
v = v.<org.apache.commons.math.distribution.WeibullDistribution: double shape>;
v = 1.0 / v;
v = staticinvoke <org.apache.commons.math.util.FastMath: double pow(double,double)>(v, v);
v = v * v;
label:
return v;
}
protected double getSolverAbsoluteAccuracy()
{
org.apache.commons.math.distribution.WeibullDistribution v;
double v;
v := @this: org.apache.commons.math.distribution.WeibullDistribution;
v = v.<org.apache.commons.math.distribution.WeibullDistribution: double solverAbsoluteAccuracy>;
return v;
}
public double getNumericalMean()
{
org.apache.commons.math.distribution.WeibullDistribution v;
boolean v;
double v, v;
v := @this: org.apache.commons.math.distribution.WeibullDistribution;
v = v.<org.apache.commons.math.distribution.WeibullDistribution: boolean numericalMeanIsCalculated>;
if v != 0 goto label;
v = virtualinvoke v.<org.apache.commons.math.distribution.WeibullDistribution: double calculateNumericalMean()>();
v.<org.apache.commons.math.distribution.WeibullDistribution: double numericalMean> = v;
v.<org.apache.commons.math.distribution.WeibullDistribution: boolean numericalMeanIsCalculated> = 1;
label:
v = v.<org.apache.commons.math.distribution.WeibullDistribution: double numericalMean>;
return v;
}
protected double calculateNumericalMean()
{
org.apache.commons.math.distribution.WeibullDistribution v;
double v, v, v, v, v, v, v;
v := @this: org.apache.commons.math.distribution.WeibullDistribution;
v = virtualinvoke v.<org.apache.commons.math.distribution.WeibullDistribution: double getShape()>();
v = virtualinvoke v.<org.apache.commons.math.distribution.WeibullDistribution: double getScale()>();
v = 1.0 / v;
v = 1.0 + v;
v = staticinvoke <org.apache.commons.math.special.Gamma: double logGamma(double)>(v);
v = staticinvoke <org.apache.commons.math.util.FastMath: double exp(double)>(v);
v = v * v;
return v;
}
public double getNumericalVariance()
{
org.apache.commons.math.distribution.WeibullDistribution v;
boolean v;
double v, v;
v := @this: org.apache.commons.math.distribution.WeibullDistribution;
v = v.<org.apache.commons.math.distribution.WeibullDistribution: boolean numericalVarianceIsCalculated>;
if v != 0 goto label;
v = virtualinvoke v.<org.apache.commons.math.distribution.WeibullDistribution: double calculateNumericalVariance()>();
v.<org.apache.commons.math.distribution.WeibullDistribution: double numericalVariance> = v;
v.<org.apache.commons.math.distribution.WeibullDistribution: boolean numericalVarianceIsCalculated> = 1;
label:
v = v.<org.apache.commons.math.distribution.WeibullDistribution: double numericalVariance>;
return v;
}
protected double calculateNumericalVariance()
{
org.apache.commons.math.distribution.WeibullDistribution v;
double v, v, v, v, v, v, v, v, v, v, v;
v := @this: org.apache.commons.math.distribution.WeibullDistribution;
v = virtualinvoke v.<org.apache.commons.math.distribution.WeibullDistribution: double getShape()>();
v = virtualinvoke v.<org.apache.commons.math.distribution.WeibullDistribution: double getScale()>();
v = virtualinvoke v.<org.apache.commons.math.distribution.WeibullDistribution: double getNumericalMean()>();
v = v * v;
v = 2.0 / v;
v = 1.0 + v;
v = staticinvoke <org.apache.commons.math.special.Gamma: double logGamma(double)>(v);
v = staticinvoke <org.apache.commons.math.util.FastMath: double exp(double)>(v);
v = v * v;
v = v * v;
v = v - v;
return v;
}
public double getSupportLowerBound()
{
org.apache.commons.math.distribution.WeibullDistribution v;
v := @this: org.apache.commons.math.distribution.WeibullDistribution;
return 0.0;
}
public double getSupportUpperBound()
{
org.apache.commons.math.distribution.WeibullDistribution v;
v := @this: org.apache.commons.math.distribution.WeibullDistribution;
return #Infinity;
}
public boolean isSupportLowerBoundInclusive()
{
org.apache.commons.math.distribution.WeibullDistribution v;
v := @this: org.apache.commons.math.distribution.WeibullDistribution;
return 1;
}
public boolean isSupportUpperBoundInclusive()
{
org.apache.commons.math.distribution.WeibullDistribution v;
v := @this: org.apache.commons.math.distribution.WeibullDistribution;
return 0;
}
public boolean isSupportConnected()
{
org.apache.commons.math.distribution.WeibullDistribution v;
v := @this: org.apache.commons.math.distribution.WeibullDistribution;
return 1;
}
}