我正在寻找一种采用或不采用参数来计算置信区间的方法 我不想要apache方法, 这只是一个简单的方法或som类型的代码。
答案 0 :(得分:4)
我的知识受到限制,它基本上归结为完成针对预期答案集的在线任务(https://www.hackerrank.com/challenges/stat-warmup)。
但是,据我所知,答案中有错误,我想纠正这些错误。 我的来源几乎是维基百科https://en.wikipedia.org/wiki/Confidence_interval#Basic_Steps
/**
*
* @return int[]{lower, upper}, i.e. int array with Lower and Upper Boundary of the 95% Confidence Interval for the given numbers
*/
private static double[] calculateLowerUpperConfidenceBoundary95Percent(int[] givenNumbers) {
// calculate the mean value (= average)
double sum = 0.0;
for (int num : givenNumbers) {
sum += num;
}
double mean = sum / givenNumbers.length;
// calculate standard deviation
double squaredDifferenceSum = 0.0;
for (int num : givenNumbers) {
squaredDifferenceSum += (num - mean) * (num - mean);
}
double variance = squaredDifferenceSum / givenNumbers.length;
double standardDeviation = Math.sqrt(variance);
// value for 95% confidence interval, source: https://en.wikipedia.org/wiki/Confidence_interval#Basic_Steps
double confidenceLevel = 1.96;
double temp = confidenceLevel * standardDeviation / Math.sqrt(givenNumbers.length);
return new double[]{mean - temp, mean + temp};
}
答案 1 :(得分:-3)
这里是你去这是代码计算Confidence Interval
/**
*
* @author alaaabuzaghleh
*/
public class TestCI {
public static void main(String[] args) {
int maximumNumber = 100000;
int num = 0;
double[] data = new double[maximumNumber];
// first pass: read in data, compute sample mean
double dataSum = 0.0;
while (num<maximumNumber) {
data[num] = num*10;
dataSum += data[num];
num++;
}
double ave = dataSum / num;
double variance1 = 0.0;
for (int i = 0; i < num; i++) {
variance1 += (data[i] - ave) * (data[i] - ave);
}
double variance = variance1 / (num - 1);
double standardDaviation= Math.sqrt(variance);
double lower = ave - 1.96 * standardDaviation;
double higher = ave + 1.96 * standardDaviation;
// print results
System.out.println("average = " + ave);
System.out.println("sample variance = " + variance);
System.out.println("sample standard daviation = " + standardDaviation);
System.out.println("approximate confidence interval");
System.out.println("[ " + lower + ", " + higher + " ]");
}
}