Saddlepoint Method to Cumulative Distribution Function for Poisson-Binomial Model

Al Mutairi Alya O., Heng Chin Low

Abstract


The randm sum distribution plays an important key in statistical science as well as with insurance program, biotechnology and applied medical science. Saddlepoint methods are considered to be random sum variables with dependent elements supposing presence of the Moment Generation Function (MGF). Saddlepoint methods are influential instruments for getting precise terms for distribution functions in closed form. However, the paper also, discusses the Saddlepoint methods to the Cumulative Distribution Function (CDF) for Poisson-Binomial model in discrete form.


Full Text: PDF DOI: 10.5539/mas.v7n6p101

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

Modern Applied Science   ISSN 1913-1844 (Print)   ISSN 1913-1852 (Online)

Copyright © Canadian Center of Science and Education

To make sure that you can receive messages from us, please add the 'ccsenet.org' domain to your e-mail 'safe list'. If you do not receive e-mail in your 'inbox', check your 'bulk mail' or 'junk mail' folders.