Hello For my simulations, I have to simulate paths of Normal(mu*, sigma*).random variables. It so happens, that each path has few [500] observations, AND sigma is large [compared to mu]. Thus the realized values of mu are often very different from mu*. I discovered that in my particular application, it makes sense to take each path, 1) estimate mu and sigma 2) if mu is not equal to m*, then "massage the data" - for each path, convert the data into N(0,1) [by subtracting the estimated mu [for this path] from each observation, etc], and then convert the data into N(M*, Sigma*)I [by adding m* to each value, etc].
I was wondering whether there is a formal Statistics term describing this "massaging the data" procedure. I really need to know this, to be able to put my research into context of existing work. Thank you very much for your kind help Stan . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
