EN
A New Approach to Bivariate Transmutation: Construction of Continuous Bivariate Distribution Under Negative Dependency
Abstract
In this study, a new approach to transmutation theory is developed by using negative dependency basement. Once choosing a distribution that has negative dependency with the same marginal, a new bivariate distribution is derived. In this study, we examined a new transmutation technique in which a negative dependency offers a big success in modeling rather than most known and used statistical distributions. This approach clash with classical transmutation methods. In this study at the beginning, the classical transmutation is defined. Later, we introduce the new technique and obtain lower and upper bounds of distribution to show that this approach gives us a distribution. Gaining new bivariate continuous distributions with this technique may be more appropriate in theory, and modeling of some data sets in terms of this approach may be more efficient.
Keywords
References
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Details
Primary Language
English
Subjects
Statistics
Journal Section
Research Article
Publication Date
December 29, 2020
Submission Date
May 24, 2020
Acceptance Date
August 19, 2020
Published in Issue
Year 2020 Volume: 41 Number: 4
APA
Ünözkan, H., & Yılmaz, M. (2020). A New Approach to Bivariate Transmutation: Construction of Continuous Bivariate Distribution Under Negative Dependency. Cumhuriyet Science Journal, 41(4), 938-943. https://doi.org/10.17776/csj.742159
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