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Unformatted text preview: , 75 , 100 , 200. Once the 10000 sample runs have all been generated, plot histograms of the distribution of the state for each of these times. (Normalize the his-tograms so that they represent a probability mass function). Explain in words what these histograms represent. • Plot the histogram of a geometric random variable with success probability p = 1-( u/d ). How does this compare with the histograms you have just constructed? 1...
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This note was uploaded on 03/17/2011 for the course IEOR 161 taught by Professor Lim during the Spring '08 term at University of California, Berkeley.
- Spring '08
- Operations Research