how can we generate random numbers using skew normal distribution in multivariate case?
在多变量情况下，如何使用偏态正态分布生成随机数？
1 个解决方案
#1
2
Use the rsn function from the sn package in R (as I think from another question that R will work for you also):
使用R中sn包中的rsn函数（我想从另一个R也适合你的问题）：
rsn(n=100, location=1.256269, scale=1.605681, shape=5)
Will generate 100 (n) random numbers from a skew-normal distribution with the required location, scale and shape. Use higher sample size for plotting, e.g.:
将从具有所需位置，比例和形状的偏斜正态分布生成100（n）个随机数。使用更高的样本量进行绘图，例如：
hist(rsn(n=10000, location=1.256269, scale=1.605681, shape=5))
#1
2
Use the rsn function from the sn package in R (as I think from another question that R will work for you also):
使用R中sn包中的rsn函数（我想从另一个R也适合你的问题）：
rsn(n=100, location=1.256269, scale=1.605681, shape=5)
Will generate 100 (n) random numbers from a skew-normal distribution with the required location, scale and shape. Use higher sample size for plotting, e.g.:
将从具有所需位置，比例和形状的偏斜正态分布生成100（n）个随机数。使用更高的样本量进行绘图，例如：
hist(rsn(n=10000, location=1.256269, scale=1.605681, shape=5))