On the generalization of negative binomial distribution
In this paper we study the distribution of the number of trials required to obtain r successes in a sequence of Bernoulli trials. We consider the conditions under which the above distribution is a negative binomial distribution. In fact, we show that the negative binomial distribution can be derived from dependent Bernoulli random variables. Finally, we consider a certain model in a generalized negative binomial distribution and obtain the expected value of the number of trials required.
Year of publication: |
2004
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Authors: | Shishebor, Z. ; Towhidi, M. |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 66.2004, 2, p. 127-133
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Publisher: |
Elsevier |
Keywords: | Dependent trials Binomial distribution Negative binomial distribution Generalized negative binomial distribution |
Saved in:
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