________________________________________ *Corresponding author: Email: chrisogonusjohnson@gmail.com; Asian Journal of Probability and Statistics 18(4): 46-58, 2022; Article no.AJPAS.90017 ISSN: 2582-0230 ______________________________________________________________________________________________________________________________________________________ On Modified Inverse Shanker Distribution and Applications Grace O. Nwadiogbu a , F. C. Eze a and Chrisogonus K. Onyekwere a* a Department of Statistics, Nnamdi Azikiwe University, Awka, Nigeria. Authors’ contributions This work was carried out in collaboration among all authors. Author GON designed the study, wrote the protocol and the first draft of the manuscript. Authors FCE and CKO managed the statistical analysis and literature searches of the study. All authors read and approved the final manuscript. Article Information DOI: 10.9734/AJPAS/2022/v18i430456 Open Peer Review History: This journal follows the Advanced Open Peer Review policy. Identity of the Reviewers, Editor(s) and additional Reviewers, peer review comments, different versions of the manuscript, comments of the editors, etc are available here: https://www.sdiarticle5.com/review-history/90017 Received 23 May 2022 Accepted 27 July 2022 Published 03 August 2022 __________________________________________________________________________________ Abstract Due to variations in life occurrences, descriptions or interpretations and predictions with some level of accuracy has become challenging. In order to use models to solve these problems, statisticians have provided numerous number of probability distributions which can be used to describe one situation or the other. Rama shanker provided Shanker distribution which is not flexible enough to accommodate datasets with decreasing function. In order to add flexibility to Shankers’ distribution, the aim of this article is to suggest a new model developed by modifying shankers’ distribution. The new distribution will be called “Modified inverse Shanker distribution”. It has one special case, inverse Shanker distribution. Besides the basic properties of the distribution, the maximum likelihood technique of estimating the parameters of the distribution and some of the reliability measures are also discussed. We also illustrate the applicability of the proposed distribution using two real datasets. Keywords: Modified shanker distribution; exponentiated distribution; inverse shanker distribution; generalized shanker distribution; inverse distributions. 1 Introduction The modeling and analysis of lifetime data, for instance, datasets from medicine, engineering, insurance, actuarial science and so on, is considered a significant facet of statistical study, specifically, in the area of Original Research Article