本文整理了Java中org.apache.commons.math3.random.RandomDataGenerator.nextWeibull方法的一些代码示例，展示了RandomDataGenerator.nextWeibull的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。RandomDataGenerator.nextWeibull方法的具体详情如下：
包路径：org.apache.commons.math3.random.RandomDataGenerator
类名称：RandomDataGenerator
方法名：nextWeibull

RandomDataGenerator.nextWeibull介绍

[英]Generates a random value from the WeibullDistribution.
[中]从Weibull分布生成一个随机值。

代码示例

代码示例来源：origin: org.apache.commons/commons-math3

/**
 * Generates a random value from the {@link org.apache.commons.math3.distribution.WeibullDistribution Weibull Distribution}.
 * This implementation uses {@link #nextInversionDeviate(RealDistribution) inversion}
 * to generate random values.
 *
 * @param shape the shape parameter of the Weibull distribution
 * @param scale the scale parameter of the Weibull distribution
 * @return random value sampled from the Weibull(shape, size) distribution
 * @since 2.2
 * @throws NotStrictlyPositiveException if {@code shape <= 0} or
 * {@code scale <= 0}.
 */
public double nextWeibull(double shape, double scale) throws NotStrictlyPositiveException {
  return delegate.nextWeibull(shape, scale);
}

代码示例来源：origin: io.virtdata/virtdata-lib-realer

/**
 * Generates a random value from the {@link org.apache.commons.math3.distribution.WeibullDistribution Weibull Distribution}.
 * This implementation uses {@link #nextInversionDeviate(RealDistribution) inversion}
 * to generate random values.
 *
 * @param shape the shape parameter of the Weibull distribution
 * @param scale the scale parameter of the Weibull distribution
 * @return random value sampled from the Weibull(shape, size) distribution
 * @since 2.2
 * @throws NotStrictlyPositiveException if {@code shape <= 0} or
 * {@code scale <= 0}.
 */
public double nextWeibull(double shape, double scale) throws NotStrictlyPositiveException {
  return delegate.nextWeibull(shape, scale);
}

代码示例来源：origin: geogebra/geogebra

/**
 * Generates a random value from the {@link org.apache.commons.math3.distribution.WeibullDistribution Weibull Distribution}.
 * This implementation uses {@link #nextInversionDeviate(RealDistribution) inversion}
 * to generate random values.
 *
 * @param shape the shape parameter of the Weibull distribution
 * @param scale the scale parameter of the Weibull distribution
 * @return random value sampled from the Weibull(shape, size) distribution
 * @since 2.2
 * @throws NotStrictlyPositiveException if {@code shape <= 0} or
 * {@code scale <= 0}.
 */
public double nextWeibull(double shape, double scale) throws NotStrictlyPositiveException {
  return delegate.nextWeibull(shape, scale);
}