Borges, "The complementary Weibull

geometric distribution," Journal of Statistical Computation and Simulation, vol.

Sixth, one data set (Mixon) was satisfactorily fit by two distributions: the negative binomial distribution and the inflated

geometric distribution. Two distributions satisfactorily fitting one data set is not unusual.

We assume that the arrival intervals of PU and SU packets follow

geometric distributions with arrival rates [[lambda].sub.pu] (0 < [[lambda].sub.pu] < 1) and [[lambda].sub.su] (0 < [[lambda].sub.su] < 1), respectively.

Thus the approximating

geometric distribution has the form

During the type-i cycle, the time that the system visits phase 0 follows a

geometric distribution with parameter [q.sub.i].

Simulation of Geometric and Negative Binomial random variables

Geometric distributionWe introduce a power series whose coffecients are probabiliteis of hyper

geometric distributionTherefore, in the GANS algorithm, the subset with bigger contribution is seen as the one which has the optimal

geometric distribution. Then, it will be used as the output of the GANS algorithm instead of using all the anchor nodes.

We consider three types of service time distributions: a

geometric distribution, a negative binomial distribution, and a mixture of two different

geometric distributions.

Instead of the uniform distribution of the random backoff time selection, we use a

geometric distribution which takes into account various classes of services.

Our subject of interest in this paper is the

geometric distribution of the frequencies of the path with ratio 1/2 where the jumping of the electron to the non-adjacent positions is not allowed.