In:
Journal of Applied Probability, Cambridge University Press (CUP), Vol. 38, No. 1 ( 2001-03), p. 36-44
Abstract:
We examine how the binomial distribution B ( n , p ) arises as the distribution S n = ∑ i =1 n X i of an arbitrary sequence of Bernoulli variables. It is shown that B ( n , p ) arises in infinitely many ways as the distribution of dependent and non-identical Bernoulli variables, and arises uniquely as that of independent Bernoulli variables. A number of illustrative examples are given. The cases B (2, p ) and B (3, p ) are completely analyzed to bring out some of the intrinsic properties of the binomial distribution. The conditions under which S n follows B ( n , p ), given that S n -1 is not necessarily a binomial variable, are investigated. Several natural characterizations of B ( n , p ), including one which relates the binomial distributions and the Poisson process, are also given. These results and characterizations lead to a better understanding of the nature of the binomial distribution and enhance the utility.
Type of Medium:
Online Resource
ISSN:
0021-9002
,
1475-6072
DOI:
10.1239/jap/996986641
Language:
English
Publisher:
Cambridge University Press (CUP)
Publication Date:
2001
detail.hit.zdb_id:
1474599-9
detail.hit.zdb_id:
219147-7
SSG:
3,2
Permalink