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queueing (version 0.2.12)

Pn: Returns the probabilities of a queueing model (or network)

Description

Pn returns the probabilities that a queueing model (or network) has n customers. Qn returns the probabilities that an arrival that enter the system see n customers in it

Usage

Pn(x, …)
  Qn(x, …)

Arguments

x

For Pn, an object of class o_MM1, o_MMC, o_MM1K, o_MMCK, o_MM1KK, o_MMCKK, o_MMCC, o_MMCKM, o_MMInfKK, o_MMInf, o_OJN, o_BnD. For Qn, an object of class o_MM1, o_MMC, o_MM1K, o_MMCK, o_MM1KK, o_MMCKK, o_MMCC, o_MMCKM, o_MMInfKK, o_MMInf

aditional arguments

Details

Pn returns the system probabilities of a queueing model (or network). Qn returns the probability that an effective arrival see n customers in the system

References

[Sixto2004] Sixto Rios Insua, Alfonso Mateos Caballero, M Concepcion Bielza Lozoya, Antonio Jimenez Martin (2004). Investigacion Operativa. Modelos deterministicos y estocasticos. Editorial Centro de Estudios Ramon Areces.

See Also

Pn.o_MM1 Qn.o_MM1 Pn.o_MMC Qn.o_MMC Pn.o_MM1K Qn.o_MM1K Pn.o_MMCK Qn.o_MMCK Pn.o_MM1KK Qn.o_MM1KK Pn.o_MMCKK Qn.o_MMCKK Pn.o_MMCC Qn.o_MMCC Pn.o_MMCKM Qn.o_MMCKM Pn.o_MMInfKK Qn.o_MMInfKK Pn.o_MMInf Qn.o_MMInf Pn.o_OJN Pn.o_BnD

Examples

Run this code
# NOT RUN {
## create input parameters
i_mm1 <- NewInput.MM1(lambda=1/4, mu=1/3, n=0)

## Build the model
o_mm1 <- QueueingModel(i_mm1)

## Returns the probabilities
Pn(o_mm1)

# }

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