[0,1] 上均匀分布的平均方差 MATLAB

发布于 2024-10-22 04:29:40 字数 57 浏览 2 评论 0原文

Matlab 中获取 [0,1] 上均匀分布的均值和方差的最佳方法是什么?

What is the best way in Matlab to get the mean and variance of a uniform distribution over [0,1]?.

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温柔女人霸气范 2024-10-29 04:29:40

经验分布的均值和方差的计算方式与任何分布相同:

%# create uniform distribution
N = 1000;
dist = rand(N); %# N values, uniformly distributed between 0 and 1

%# calculate mean and variance
distributionMean = mean(dist);
distributionVariance = var(dist);

此方法提供对从中抽取样本的分布的均值和方差的估计。请注意,如果 N 较大,distributionMean 将接近 0.5,distributionVariance 将接近 1/12。如果这是您真正感兴趣的值,有用的 Matlab 命令是

web('http://en.wikipedia.org/wiki/Uniform_distribution_(continuous)')

Mean and variance of an empirical distribution are calculated the same way for any distribution:

%# create uniform distribution
N = 1000;
dist = rand(N); %# N values, uniformly distributed between 0 and 1

%# calculate mean and variance
distributionMean = mean(dist);
distributionVariance = var(dist);

This approach provides an estimate for the mean and variance of the distribution from which your sample was drawn. Note that with larger N, distributionMean will approach 0.5, and distributionVariance will approach 1/12. If that's the values you're really interested in, the useful Matlab command is

web('http://en.wikipedia.org/wiki/Uniform_distribution_(continuous)')
月野兔 2024-10-29 04:29:40

Uniform (0,1) 甚至 Uniform(a,b) 随机变量的均值和方差是已知公式。

对于 X~Uniform(a,b)

mean(X) = (a+b)/2

var(X) = (1/12)*((b-a)^2)

设置 a = 0b = 1 以获得所需结果。

点击此处了解更多信息。

The mean and variance of a Uniform (0,1) or even a Uniform(a,b) random variable are known formulas.

For X~Uniform(a,b),

mean(X) = (a+b)/2

var(X) = (1/12)*((b-a)^2)

Set a = 0 and b = 1 for the desired result.

Read more here.

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