Special Issue: Lifetime Distributions and Statistical Methods with Applications to Real Scientific Problems
Guest Editor
Prof. Ammar Sarhan
Department of Mathematics & Statistics, Dalhousie University, Halifax, Nova Scotia, B3H 4R2, Canada
Email: Ammar.Sarhan@dal.ca
Manuscript Topics
The special issue on "Lifetime Distributions and Statistical Methods with Applications to Real Scientific Problems" aims to bring together innovative research that bridges statistical theory with practical applications. This issue will explore advancements in lifetime distributions, focusing on their use in analyzing and predicting the lifespan and reliability of systems in diverse fields such as engineering, medicine, environmental studies, and economics. Emphasizing the application of statistical methods to real-world problems, this collection encourages contributions that offer both theoretical developments and case studies where these statistical models have been successfully implemented to solve pressing scientific challenges. The issue will highlight how modern statistical tools can be employed to model uncertainty, handle complex data, and provide insightful conclusions about system reliability and survival.
Instruction for Authors
https://www.aimspress.com/math/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/