本文整理匯總了Java中JSci.maths.SpecialMath.incompleteBeta方法的典型用法代碼示例。如果您正苦於以下問題：Java SpecialMath.incompleteBeta方法的具體用法？Java SpecialMath.incompleteBeta怎麽用？Java SpecialMath.incompleteBeta使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類JSci.maths.SpecialMath的用法示例。
在下文中一共展示了SpecialMath.incompleteBeta方法的4個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Java代碼示例。
示例1: cumulative
import JSci.maths.SpecialMath; //導入方法依賴的package包/類
/**
* Cumulative F-distribution function.
* @return the probability that a stochastic variable x is less then X, i.e. P(x<X).
*/
public double cumulative(double X) {
// We make use of the fact that when x has an F-distibution then
// y = q/(q+p*x) has a beta distribution with parameters p/2 and q/2.
checkRange(X,0.0,Double.MAX_VALUE);
return SpecialMath.incompleteBeta(1.0/(1.0+q/(p*X)),p/2.0,q/2.0);
}
示例2: cumulative
import JSci.maths.SpecialMath; //導入方法依賴的package包/類
/**
* Cumulative F-distribution function.
* @return the probability that a stochastic variable x is less then X, i.e. P(x<X).
*/
public double cumulative(double X) {
checkRange(X,0.0,Double.MAX_VALUE);
return SpecialMath.incompleteBeta(1.0/(1.0+q/(p*X)),p/2.0,q/2.0);
}
示例3: cumulative
import JSci.maths.SpecialMath; //導入方法依賴的package包/類
/**
* Cumulative student's t-distribution function.
* @return the probability that a stochastic variable x is less then X, i.e. P(x<X).
*/
public double cumulative(double X) {
double A=0.5*SpecialMath.incompleteBeta((dgrFreedom)/(dgrFreedom+X*X),0.5*dgrFreedom,0.5);
return X>0 ? 1-A : A;
}
示例4: cumulative
import JSci.maths.SpecialMath; //導入方法依賴的package包/類
/**
* Cumulative beta distribution function.
* @return the probability that a stochastic variable x is less then X, i.e. P(x<X).
*/
public double cumulative(double X) {
checkRange(X);
return SpecialMath.incompleteBeta(X,p,q);
}