Transmuted Geometric Distribution and its Prpoerties
Subrata Chakraborty

TL;DR
This paper introduces the transmuted geometric distribution, a new two-parameter generalization of the geometric distribution, and explores its properties and parameter estimation methods.
Contribution
It proposes the transmuted geometric distribution using quadratic transmutation techniques, expanding the class of geometric-related distributions.
Findings
Distributional properties are thoroughly investigated.
Reliability characteristics are analyzed.
Parameter estimation methods are discussed.
Abstract
Transmuted geometric distribution with two parameters and is proposed as a new generalization of the geometric distribution by employing the quadratic transmutation techniques of Shaw and Buckley (2007). Its important distributional and reliability properties are investigated. Parameter estimation methods is discussed.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStatistical Distribution Estimation and Applications · Probability and Risk Models · Financial Risk and Volatility Modeling
