Indian Journal of Science and Technology
Year: 2021, Volume: 14, Issue: 22, Pages: 1839-1854
Tousifur Rahman1 , Partha Jyoti Hazarika1 , Manash Pratim Barman ✉ 1
1 Department of Statistics, Dibrugarh University, Dibrugarh, Assam, 786004, India
email: [email protected]
Received Date:02 April 2021, Accepted Date:27 May 2021, Published Date:29 June 2021
Objective: To introduce a one-inflated Binomial distribution (OIBD) and discuss its applications. Methods: Study its distributional properties, reliability characteristics, and estimation of its parameters using the method of moment estimation (MM) and maximum likelihood estimation (MLE). A simulation study has been conducted to see the behaviour of the MLEs. Two real-life examples are used to examine the pertinent of the proposed distribution. Findings : The proposed one-inflated binomial distribution (OIBD) provides better fitting in terms of AIC, BIC, and KS test comparison to the other known distributions. Novelty: Develop a new statistical distribution to study the count data having inflated frequency at count one, along with the different statistical properties. The practical utility of the distribution is also discussed with real-life examples.
One inflated Binomial distribution, MM, MLE, KS, AIC and BIC
© 2021 Rahman et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)
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