Special Issue: Statistical Distribution Theory and Applications
Guest Editor
Prof. Christophe Chesneau
Université de Caen Normandie, Caen, France
Email: christophe.chesneau@gmail.com
Manuscript Topics
This special issue is dedicated to the latest advancements in statistical distribution theory and its wide range of applications. Contributions may include the development of new univariate, bivariate and multivariate distributions; innovative regression models derived from these distributions; and advances in statistical inference and parameter estimation, including semi-parametric and non-parametric approaches. We also welcome submissions that address the theoretical properties of these distributions, their computational methods, simulation studies and their real-world applications in diverse fields such as economics, engineering, environmental science, medicine and the social sciences. We especially encourage research that bridges theory and practice or introduces novel methodologies with practical relevance.
Keywords:
Probability distributions
Statistical inference
Regression models
Semi-parametric estimation
Bayesian methods
Univariate and multivariate analysis
Goodness-of-fit tests
Lifetime and reliability data analysis
Applied statistics
Distribution-based modeling
Instruction for Authors
https://www.aimspress.com/math/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/
Paper Submission
All manuscripts will be peer-reviewed before their acceptance for publication. The deadline for manuscript submission is 01 July 2026
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