A modified Conway-Maxwell-Poisson type binomial distribution and its applications
Imoto Tomoaki, Ng Choung Min, Ong Seng Huat, Subrata Chakraborty

TL;DR
This paper introduces a new four-parameter generalized binomial distribution derived from queueing systems and Conway-Maxwell-Poisson variables, exploring its properties, estimation methods, and applications.
Contribution
It presents a novel four-parameter distribution based on queueing theory and CMP variables, with detailed properties and practical estimation techniques.
Findings
Derived from queueing systems with state-dependent rates
Analyzed properties like dispersion, skewness, kurtosis
Demonstrated applications and estimation methods
Abstract
This paper proposes a generalized binomial distribution with four parameters, which is derived from the finite capacity queueing system with state-dependent service and arrival rates. This distribution is also generated from the conditional Conway-Maxwell-Poisson distribution given a sum of two Conway-Maxwell-Poisson variables. In this paper, we consider the properties about the probability mass function, index of dispersion, skewness and kurtosis and give applications of the proposed distribution from its geneses. The estimation method and simulation study are also considered.
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 · Advanced Queuing Theory Analysis
