Document Type

Article

Publication Date

2012

DOI

10.1080/18756891.2012.696911

Publication Title

International Journal of Computational Intelligence Systems

Volume

5

Issue

3

Pages

472-482

Abstract

Growth phenomena are ubiquitous and pervasive not only in biology and the medical sciences, but also in economics, marketing and the computer and social sciences. We introduce a three-parameter version of the classic pure-birth process growth model when suitably instantiated, can be used to model growth phenomena in many seemingly unrelated application domains. We point out that the model is computationally attractive since it admits of conceptually simple, closed form solutions for the time-dependent probabilities.

Comments

Web of Science: :Free full-text from publisher."

Original Publication Citation

Arif, S., Khalil, I., & Olariu, S. (2012). On a versatile stochastic growth model. International Journal of Computational Intelligence Systems, 5(3), 472-482. doi:10.1080/18756891.2012.696911

ORCID

0000-0002-3776-216X (Olariu)

Download

Share

COinS