I'm not sure of the best thing for you to do. So i want to get the value of this random variables with covariance matrix Of random variables are assumed to be in 95th and 5th percentile of its Have a truncated negative side distribution. Parameters are assumed to be random variables with Gaussian distribution it should be normally distributed.Īctually i know the range of these 6 variables in the field and all So i want to get the value of this random variables with covariance matrix with in this range. The upper and lower bounds of random variables are assumed to be in 95th and 5th percentile of its probability distribution.
I want to do a sensitivity analysis with these uncertain six input variables.Īctually i know the range of these 6 variables in the field and all parameters are assumed to be random variables with Gaussian distribution have a truncated negative side distribution. So, would you clarify? What are you hoping to get? Instance, a normal random variable tends to produce values within 2*sigma of If you use lhsnorm you specify a mean andĬovariance, but the results aren't restricted to a fixed range. If you use lhsdesign you get things between 0 and 1, and you can transform
#Latin hypercube matlab how to#
Pls correct me or tell me how to do it in different way? But some generated random numbers are out of the range of
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