Apache Math从数据集生成分布

<dependency>
  <groupId>org.apache.commons</groupId>
  <artifactId>commons-math3</artifactId>
  <version>3.6.1</version>
</dependency>

import org.apache.commons.math3.stat.Frequency;
import org.apache.commons.math3.stat.descriptive.DescriptiveStatistics;
import org.apache.commons.math3.distribution.EmpiricalDistribution;

import java.util.Arrays;
import java.util.Collections;
import java.util.List;

public class DistributionExample {
    public static void main(String[] args) {
        // 创建一个数据集
        List<Double> dataset = Arrays.asList(1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0);

        // 使用 Frequency 类计算频率分布
        Frequency frequency = new Frequency();
        for (Double value : dataset) {
            frequency.addValue(value);
        }

        // 打印频率分布
        for (Double value : frequency.getUniqueValues()) {
            System.out.println("Value: " + value + ", Frequency: " + frequency.getCount(value));
        }

        // 使用 EmpiricalDistribution 类创建经验分布
        EmpiricalDistribution empiricalDistribution = new EmpiricalDistribution(dataset.size());
        for (Double value : dataset) {
            empiricalDistribution.addValue(value);
        }

        // 打印经验分布的分位数
        DescriptiveStatistics descriptiveStatistics = empiricalDistribution.getSampleStats();
        System.out.println("Mean: " + descriptiveStatistics.getMean());
        System.out.println("Median: " + empiricalDistribution.getQuantile(0.5));
        System.out.println("Standard Deviation: " + descriptiveStatistics.getStandardDeviation());
    }
}