Customer arrival follows a Poisson distribution. The rate is 1 job per day. The organization can process one customer per day at the beginning of the day. The organization holds 2 waiting rooms for customers. Therefore, in total there can't be more than 3 customers at the organization. (1 at service and 2 waiting). As a discrete-time Markov chain provide the transition probability matrix.
Customer arrival follows a Poisson distribution. The rate is 1 job per day. The organization can process one customer per day at the beginning of the day. The organization holds 2 waiting rooms for customers. Therefore, in total there can't be more than 3 customers at the organization. (1 at service and 2 waiting). As a discrete-time Markov chain provide the transition probability matrix.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Customer arrival follows a Poisson distribution. The rate is 1 job per day. The organization can process one customer per day at the beginning of the day. The organization holds 2 waiting rooms for customers.
Therefore, in total there can't be more than 3 customers at the organization. (1 at service and 2 waiting).
As a discrete-time Markov chain provide the transition
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