创造a standard normal probability distribution object.

PD= makedist('Normal')

PD= NormalDistribution Normal distribution mu = 0 sigma = 1

Truncate the distribution to have a lower limit of -2 and an upper limit of 2.

t = truncate(pd,-2,2)

t =正常分布分布mu = 0 sigma = 1截断为间隔[-2，2]

Plot the pdf of the original and truncated distributions for a visual comparison.

x = linspace(-3,3,1000); figure plot(x,pdf(pd,x)) hold上plot(x,pdf(t,x),'linestyle','--') legend('Normal','Truncated'） 抓住离开

创造a standard normal probability distribution object.

PD= makedist('Normal')

PD= NormalDistribution Normal distribution mu = 0 sigma = 1

Truncate the distribution by restricting it to positive values. Set the lower limit to 0 and the upper limit to infinity.

t = truncate(pd,0,inf)

t = NormalDistribution Normal distribution mu = 0 sigma = 1 Truncated to the interval [0, Inf]

Generate random numbers from the truncated distribution and visualize with a histogram.

r = random(t,10000,1); histogram(r,100)