Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-23T13:02:22.146Z Has data issue: false hasContentIssue false

A Simple Modification of the Binomial Distribution

Published online by Cambridge University Press:  11 August 2014

Get access

Extract

Given any probability distribution, new distributions can be derived from it by assuming its parameters to follow some specific probability distributions. A simple example of this process is provided by the Poisson distribution

P(rλ) = e-λλr/r! (r = o, 1, 2, …).

If the parameter λ is assumed to follow the Pearson's Type III law

then the probability of r successes is obtained as

Type
Research Article
Copyright
Copyright © Institute of Actuaries Students' Society 1960

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Bailey, N. J. T. (1953). Biometrika, 40, 279.Google Scholar
Greenwood, M. (1949). Biometrika, 36, 1.Google Scholar
Johnson, N. L. & Garwood, F. (1957). J.I.A. 83, 277.Google Scholar
Kendall, M. G. (1948). The Advanced Theory of Statistics, vol. 1, 4th ed., p. 57. London: Charles Griffin and Co. Google Scholar
Moore, P. G. (1958). Principles of Statistical Techniques, p. 138. Cambridge University Press.Google Scholar
Ottestad, P. (1948). Skandinavisk Aktuarietidskrift, 31, 1.Google Scholar