AbstractIn this paper the concept of Poisson randomization is studied as given in [1, 2] and analogous formulae for the generalized process are derived. The generalization regards occupancy problems where different ball types are considered such that each type has an associated probability distribution of urn occupancy. Theorems are given for formulae to calculate probabilities of events and the distribution and moments of waiting time random variables. Finally, the theory is illustrated with examples
AbstractWe consider optimal selection problems, where the number N1 of candidates for the job is ran...
Beginning with independent Markov processes, multiparameter Markov vector processes are constructed....
In this paper, using Poisson stochastic processes, we introduce an approach to the problem of the ap...
AbstractIn this paper the concept of Poisson randomization is studied as given in [1, 2] and analogo...
This thesis provides a general methodology for classifying and describing many combinatoric problems...
Consider a sample of size n drawn with replacement from an urn with m different balls, and let Xn de...
We review some urn and random-allocation models, mostly using probability generating function (PGF) ...
Abstract—Duals of probability distributions on continuous (R) domains exist on discrete (Z) domains....
Suppose that an urn contains m distinguishable balls, and that these balls are sampled (with replace...
This dissertation consists of a series of four papers, each appearing as a separate chapter. In the ...
Consider n players whose “scores” are independent and identically distributed values from some discr...
Consider n players whose scores are independent and identically distributed values {Xi}i=1n from s...
Periodic random environments and mechanisms of their effect on imbedded random variables are discuss...
Consider n players whose “scores ” are independent and identically distributed values {Xi}ni=1 from ...
AbstractWe consider the occupancy problem where balls are thrown independently at infinitely many bo...
AbstractWe consider optimal selection problems, where the number N1 of candidates for the job is ran...
Beginning with independent Markov processes, multiparameter Markov vector processes are constructed....
In this paper, using Poisson stochastic processes, we introduce an approach to the problem of the ap...
AbstractIn this paper the concept of Poisson randomization is studied as given in [1, 2] and analogo...
This thesis provides a general methodology for classifying and describing many combinatoric problems...
Consider a sample of size n drawn with replacement from an urn with m different balls, and let Xn de...
We review some urn and random-allocation models, mostly using probability generating function (PGF) ...
Abstract—Duals of probability distributions on continuous (R) domains exist on discrete (Z) domains....
Suppose that an urn contains m distinguishable balls, and that these balls are sampled (with replace...
This dissertation consists of a series of four papers, each appearing as a separate chapter. In the ...
Consider n players whose “scores” are independent and identically distributed values from some discr...
Consider n players whose scores are independent and identically distributed values {Xi}i=1n from s...
Periodic random environments and mechanisms of their effect on imbedded random variables are discuss...
Consider n players whose “scores ” are independent and identically distributed values {Xi}ni=1 from ...
AbstractWe consider the occupancy problem where balls are thrown independently at infinitely many bo...
AbstractWe consider optimal selection problems, where the number N1 of candidates for the job is ran...
Beginning with independent Markov processes, multiparameter Markov vector processes are constructed....
In this paper, using Poisson stochastic processes, we introduce an approach to the problem of the ap...