My question is about estimating a normal distribution for a row of points of an interval that are extracted from the data, just knowing the maximum = 200 and minimum = 100, to distribute them randomly by an average and an associated standard deviation that we will estimate. Is there a method in Matlab, or the literature to do it, such that when you draw the associated law; we must not exceed the min and max values I used this trick there:
x = xmin + rand (1, n) * (xmax-xmin);
but I do not know how to extract the parameters of the normal distribution (the mean, the standard deviation).
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