Results In Distribution Theory And Its Applications Inspired By Quantile Generated Probability Distributions

Results in Distribution Theory and Its Applications Inspired by Quantile Generated Probability Distributions

The q_T-X family of distributions induced by V is inspired by [Clement Boateng Ampadu, Quantile-Generated Family of Distributions: A New Method for Generating Continuous Distributions, Fundamental Journal of Mathematics and Mathematical Sciences, Volume 9, Issue 1, 2018, Pages 13-34]. This book investigates some properties and applications of a somewhat dual to the EG T-X family of distributions that appeared in [Suleman Nasiru, Peter N. Mwita and Oscar Ngesa, Exponentiated Generalized Transformed-Transformer Family of Distributions, Journal of Statistical and Econometric Methods, vol.6, no.4, 2017, 1-17]. A notable feature of the book are the exercise sets, and the section "Further Developments", which invites the reader to begin his or her own investigative inquiry into quantile generated probability distributions.

New Classes of Quantile Generated Distributions: Statistical Measures, Model Fit, and Characterizations

Computational Science and Its Applications – ICCSA 2024 Workshops

This eleven-volume set LNCS 14815 – 14825 constitutes the refereed workshop proceedings of the 24th International Conference on Computational Science and Its Applications, ICCSA 2024, held at Hanoi, Vietnam, during July 1–4, 2024. The 281 full papers, 17 short papers and 2 PHD showcase papers included in this volume were carefully reviewed and selected from a total of 450 submissions. In addition, the conference consisted of 55 workshops, focusing on very topical issues of importance to science, technology and society: from new mathematical approaches for solving complex computational systems, to information and knowledge in the Internet of Things, new statistical and optimization methods, several Artificial Intelligence approaches, sustainability issues, smart cities and related technologies.