The distributions of order k are infinite families of probability distributions indexed by a positive integer k, which reduce to the respective classical probability distributions for k = 1, and they have many applications. We presently discuss briefly the geometric, negative binomial, Poisson, logarithmic series and binomial distributions of order k.
Geometric Distribution of Order k
Denote by T k the number of independent Bernoulli trials with success (S) and failure (F) probabilities p and q = 1 − p (0 < p < 1), respectively, until the occurrence of the kth consecutive success. Philippou and Muwafi (1982) observed that a typical element of the event T k = x is an arrangement
such that x 1 of the a’s are E 1 = F, x 2 of the a’s are E 2 = SF, …, x k of the a’s are \(E_k = \underbrace{SS \ldots S}_{k-1}F\), and proceeded to obtain the following exact formula for the probability mass...
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Antzoulakos DL, Chadjiconstantinidis S (2001) Distributions of numbers of success runs of fixed length in Markov dependent trials. Ann Inst Stat Math 53:599–619
Antzoulakos DL, Philippou AN (1999) Multivariate Pascal polynomials of order k with probability applications. In: Howard FT (ed) Applications of Fibonacci numbers, vol 8. Kluwer, Dordrecht, pp 27–41
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Philippou AN (1984) The negative binomial distribution of order k and some of its properties. Biom J 26:784–789
Philippou AN, Georghiou C (1989) Convolutions of Fibonacci-type polynomials of order k and the negative binomial distributions of order k. Fibonacci Q 27:209–216
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Philippou AN, Georghiou C, Philippou GN (1983) A generalized geometric distribution and some of its properties. Stat Probab Lett 1:171–175
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Philippou, A.N., Antzoulakos, D.L. (2011). Distributions of Order k . In: Lovric, M. (eds) International Encyclopedia of Statistical Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04898-2_215
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