Asked by Jorge Ortez on Jun 19, 2024

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In the analysis of queuing models, the Poisson distribution often describes arrival rates and service times are often described by the negative exponential distribution.

Poisson Distribution

A statistical distribution that expresses the probability of a given number of events occurring in a fixed interval of time or space when these events happen with a known constant rate and independently of the time since the last event.

Negative Exponential Distribution

A probability distribution used to model time between events in a Poisson process, often applied in reliability engineering and queuing theory.

Arrival Rates

The frequency at which entities arrive at a particular system or service point, commonly used in queueing theory and service process analysis.

  • Investigate the significance of statistical distributions in analyzing arrival frequencies, service periods, and the general effectiveness of queuing systems.
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Anahi AlvarezJun 25, 2024
Final Answer :
True
Explanation :
This is true. The Poisson distribution is often used to model arrival rates in queuing systems, as it describes the occurrence of events in a given interval of time. The negative exponential distribution is often used to model service times in queuing systems, as it describes the time between consecutive events in a Poisson process.