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In this paper, the availability analysis method using the binomial process is presented to evaluate the MTBFO (Mean Time Between Forced Outage) ofthe k-out-of-m structure.
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In our simulations, the Poissonian arrivals are generated using the Binomial counting process by generating a binary random event with a probability of within a small time duration of, as described in [46, Sectio 21.3], which converges to a Poissonian process as with.
Each list is compared to the reference list (NCBI M. Musculus genes) using the binomial test for each biological process term.
In this case, each unique list was compared to the reference list (Human) using the binomial test [ 34] for biological processes in PANTHER.
Each list was compared with the reference list, using the binomial test for each molecular function, biological process, or pathway term in PANTHER.
Each list was then compared to the reference list using the binomial test [35] for each molecular function, biological process, or pathway term in PANTHER.
Briefly, gene lists are compared to the reference list using the binomial test [ 22] for each molecular function, biological process, or pathway term in PANTHER.
The option is analysed using the binomial decision tree.
Using the binomial expansion for we obtain (A2).
Again, using the binomial expansion for we obtain (A5).
However, the results of considering managerial flexibility using the binomial model show that the uncertainty generates value for the project.
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