Though the subject might seem similar to other subjects available in this forum, it is indeed different. I am doing a Monte Carlo simulation. In each iteration, i have to consider the spatial variability of a parameter(e.g. C) along a curve. in fact, in each iteration the curve is divided to some segments and the random variables (C1,C2, C3, ...,C8) are assigned to each of these segments. Each of these C1, C2, ..,C7 have a lognormal distribution with the same parameters and there is only correlation between C7 and C8 with a correlation matrix like
How can i model such a process?
it is worthy to point that, there may be different numbers of random variables in other iterations of Monte carlo simulation (i.e. due to a different curve length) but they all have a lognormal distribution with the same parameters.
Any help/idea/recommendation is highly appreciated.