Volume 15, Issue 1, March 2016, Pages 8 - 24
The Exponentiated Kumaraswamy Inverse Weibull Distribution with Application in Survival Analysis
Authors
J.A. Rodrigues, A.P.C.M. Silva, G.G. Hamedani
Corresponding Author
J.A. Rodrigues
Received 29 January 2015, Accepted 14 July 2015, Available Online 1 March 2016.
- DOI
- 10.2991/jsta.2016.15.1.2How to use a DOI?
- Keywords
- Akaike information criterion; hazard function; Kumaraswamy distribution; maximum likelihood estimation; Weibull distribution; characterizations.
- Abstract
In this paper, a new distribution called the exponentiated Kumaraswamy inverse Weibull is proposed. This dis- tribution includes as special cases the inverse exponential, inverseWeibull, inverse Rayleigh and exponentiated inverse Weibull distributions. We study the main properties of this distribution, with special emphasis on its moments and some characteristics related to reliability studies. We also discuss parameter estimation consider- ing the methods of moments and maximum likelihood. An application reveals that the model proposed can be very useful in fitting real data.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - J.A. Rodrigues AU - A.P.C.M. Silva AU - G.G. Hamedani PY - 2016 DA - 2016/03/01 TI - The Exponentiated Kumaraswamy Inverse Weibull Distribution with Application in Survival Analysis JO - Journal of Statistical Theory and Applications SP - 8 EP - 24 VL - 15 IS - 1 SN - 2214-1766 UR - https://doi.org/10.2991/jsta.2016.15.1.2 DO - 10.2991/jsta.2016.15.1.2 ID - Rodrigues2016 ER -