# IEOR161 HW5 - 4.0264 ] Figure 5: Histogram of Profit at y*...

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0 2 4 6 8 10 12 14 16 18 20 -2.5 -2 -1.5 -1 -0.5 0 0.5 1 1.5 2 2.5 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 0 5 10 15 20 25 30 35 40 45 50 IEOR161 HW5 Simulation Figure 1: Plot of Y* as a function of lambda. Y* increases as a function of lambda (offer arrivals) Figure 2: Plot of Y* as a function of mu. Y* decreases as a function of mu (offer amounts)

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0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 1 1.5 2 2.5 3 3.5 4 -8 -6 -4 -2 0 2 4 6 8 10 0 100 200 300 400 500 600 700 Figure 3: Plot of Y* as a function of c (cost). Y* decreases as function of cost. Figure 4: Histogram of Profit at y* optimal = 2.02 stats_opt = (mean, standard deviation, 5 th %, 95 th %) [ 1.7373 1.1445 -0.5517
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Unformatted text preview: 4.0264 ] Figure 5: Histogram of Profit at y* = .75-4-2 2 4 6 8 10 100 200 300 400 500 600 700 800-40-30-20-10 10 20 100 200 300 400 500 600 700 stats_.75=(mean, standard deviation, 5 th %, 95 th %) [ 1.3537 0.8347 -0.3156 3.0231 ] Figure 6: Histogram of Profit at y* =3 stats_3 =(mean, standard deviation, 5 th %, 95 th %) [ -0.3092 4.3234 -8.9559 8.3376 ] Note on Histograms: For a higher threshold, theres a lower tail. For a lower threshold, theres an upper tail....
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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.

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IEOR161 HW5 - 4.0264 ] Figure 5: Histogram of Profit at y*...

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