Discover the power of Generalized Method of Moments (GMM) based on probability generating function. Unify estimation and model testing, while enjoying distribution-free chi-square tests. Overcome ...

1. Introduction The probability generating function approach plays a vital role in the study of queueing problems as it is crucially useful in performance analysis of a wide range of queueing models.

Probability generating functions are often employed for their succinct description of the sequence of probabilities $\Pr (X = i)$ in the probability mass function for a random variable X, and to make ...

Probability generating functions are often employed for their succinct description of the sequence of probabilities $\Pr (X = i)$ in the probability mass function for a random variable X, and to make ...

Any ARUM can be characterized by a choice-probability generating function (CPGF) whose gradient gives the choice probabilities, and every CPGF is consistent with an ARUM. We relate CPGF to ...

PROBABILITY GENERATING FUNCTIONS AND THEIR ITERATES*In 2007, we proposed the idea of Dark Stars. The first phase of stellar evolution in the history of the universe may be Dark Stars (DS), powered by ...

Probability generating function, mean and variance of the service time distribution of an M/Gc/1 queuing model Abstract: The advent of multimedia applications over wireless networks has necessitated ...

For scaled random matrices with orthogonal symmetry, and the interval at the hard or soft spectrum edge, the gap probability generating functions have the special property that they can be evaluated ...

PROBABILITY GENERATING FUNCTIONS AND THEIR ITERATES*Metrics Note: The article usage is presented with a three- to four-day delay and will update daily once available. Due to ths delay, usage data will ...

The number of packets served per Coherence Time Interval (CTI) when AMC is employed is a function of the quality of the received Signal-to-Noise Ratio (SNR) in that CTI. Since the SNR is variable, the ...