Skip to content
Damon Snyder edited this page Aug 10, 2013 · 6 revisions

Chapter 6

6.5

(cdf/cdf->probability-range (partial cdf/expocdf 0.01) 1 20)
0.17131

6.6

(cdf/cdf->probability-range (partial cdf/normalcdf 178.0 59.4) 177.8 185.4)
0.05091

About 5% of the US male population is eligible for the Blue Man Group.

6.7

If X has an exponential distribution with parameter λ, and Y has an Erlang distribution with parameters k and λ, what is the distribution of the sum Z = X + Y?

I believe this will result in an Erlang distribution with the same λ and k + 1. Since an Erlang distribution is the sum of k exponential distributions with a given λ, it follows that the sum of an exponential distribution and an Erlang distribution is the sum of k + 1 exponential distributions.

Simulation appears to confirm this result:

(def x #(random/expovariate 1.0))
(def y #(random/erlangvariate 1.0 1.0))
(stats/mean (repeatedly 1000000 #(random/erlangvariate 1.0 2.0)))
2.0009476353379774
(stats/mean (repeatedly 1000000 #(+ (x) (y))))
1.9998794810982121

6.13

(def test-dist (fn [] (+ (random/lognormalvariate 1 2.5) (random/lognormalvariate 1 2))))
(six/sample-mean-probability-plot 
   (random/sample 1000 #(six/sample-mean (Math/pow 2 22) test-dist)) 
   1000 
   "\nZ = X + Y (both lognormal) n = 2^22 samples = 1000")

Probability Plot For Z = X + Y

Clone this wiki locally