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Author Question: Monte Carlo simulations applied to queuing problems have what advantage? (Read 51 times)

altibaby

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on: Dec 3, 2019

Question 1

There are four possible outcomes for a Monte Carlo simulation variable (A, B, C, and D). The random numbers 02, 22, 53, and 74 correspond to the variables ________ respectively if each possible outcome has an equivalent chance of occurring.
◦ A B C D
◦ A A C C
◦ B B D D
◦ A C B D
◦ D C B A

Question 2

Monte Carlo simulations applied to queuing problems have what advantage?
◦ simpler
◦ Arrival distribution does not need to be a Poisson distribution.
◦ Unloading rates can vary randomly.
◦ B and C
◦ A, B, and C
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Marked as best answer by altibaby on Dec 3, 2019

bobsmith

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Reply #1 on: Dec 3, 2019
Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.
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altibaby

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Reply 2 on: Dec 3, 2019
Wow, this really help

adf223

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Reply 3 on: Yesterday
:D TYSM

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