Abstract
Nowadays, one of the aim of statistical studies is to provide the future with the models which are easily accessible and simple. Therefore, more suitable distributions are needed to model the data. In this study, a new distribution is generated with exponential marginals Farlie-Gumbel-Morgenstern distribution. Specifications and characteristics of this new distribution are studied. The structure of the proposed distribution is discussed statistically and the parameter estimation for the new distribution is made by known methods. In addition, reliability analysis has performed. Due to the shape and flexibility of the proposed distribution, it is thought to be an alternative to distributions which are used for modeling flow data. Efficiency on the statistical modeling of the new distribution can be detected by using flow data sets in literature. Furthermore, Terme and Sefaatli Creeks' flow-data obtained from Turkish State Water Affairs Directorate are used to model. It is concluded that this new distribution offers a model that can be used effectively in stream flows.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Statistics and Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
