On the negative binomial distribution and its generalizations
It is shown that the negative binomial distribution NB(r,p) may arise out of an identical but dependent geometric sequence. Using a general characterization result for NB(r,p), based on a non-negative integer -valued sequence, we show that NB(2,p) may arise as the distribution of the sum of -valued random variables which are neither geometric nor independent. We show also that NB(r,p) arises, as the distribution of the number of trials for the rth success, based on a sequence of dependent Bernoulli variables. The generalized negative binomial distributions arising out of certain dependent Bernoulli sequences are also investigated. In particular, certain erroneous results in the literature are corrected.
| Year of publication: |
2007
|
|---|---|
| Authors: | Vellaisamy, P. ; Upadhye, N.S. |
| Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 77.2007, 2, p. 173-180
|
| Publisher: |
Elsevier |
| Keywords: | Sums of random variables Characterizations Binomial moments Geometric distribution Negative binomial distribution Bernoulli sequences Probabilistic models Generalized negative binomial distributions |
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