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Molecular Wormhole Chemistry: Electronic Non-Locality Induced by Wormhole-Like Geometries in Conjugated Molecular Systems
Ndenga Lumbu Barack
Editorial Panel View Editorial Board
Sandra S. Ferreira
Department of Mathematics University of Beira Interior , Portugal
Youssri
Mathematics and Actuarial Science Department Egypt University of Informatics, Egypt
Ozlem Gurunlu Alm
Department of Statistics Mugla Sıtkı Kocman University , Turkey
Axis Journal of Mathematical Statistics and Modelling is a peer-reviewed, open-access journal dedicated to publishing original research in statistical theory, probability, and mathematical modelling. It provides a focused platform for researchers working at the intersection of mathematics and statistics to present studies that deepen theoretical understanding, propose new methods, or improve established frameworks.
This journal highlights the development and analysis of mathematical models and statistical structures used to describe variation, uncertainty, and complex systems. It places particular importance on work that advances core concepts in probability theory, statistical inference, estimation theory, stochastic processes, and time-series modelling.
Submissions are welcome in areas such as multivariate analysis, asymptotic theory, Bayesian and frequentist methods, linear and nonlinear modelling, and the mathematical foundations of simulation and optimization techniques. Articles that include formal proofs, theoretical evaluation of model properties, or algorithmic structures supported by mathematical justification are encouraged.
Axis Journal of Mathematical Statistics and Modelling is concerned with ideas that are rooted in mathematical reasoning and structured argument. Its focus is not on domain-specific applications, but rather on the methods themselves, their properties, and their potential to support sound inference and deeper understanding.
All published work is freely accessible to researchers, educators, and students worldwide. The journal supports the exchange of knowledge and encourages contributions that offer technical clarity, mathematical consistency, and practical insight into statistical structure and modelling behavior.
Whether your research involves the consistency of an estimator, the structure of a probabilistic model, or a new approach to solving a classical problem in statistics, this journal offers a venue for presenting your work to a specialist readership that values depth, accuracy, and precision.
Submit manuscript at www.primeopenaccess.com/international-journals/axis-journal-of-mathematical-statistics-and-modelling-submit-paper.asp or send as an e-mail attachment to the Editorial Office at
If you feel like to be a part of Axis Journal of Mathematical Statistics and Modelling as Editor, Please register at https://www.primeopenaccess.com/international-journals/axis-journal-of-mathematical-statistics-and-modelling-editor-registration.asp (or) send an email to [email protected]
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Ndenga Lumbu Barack
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MahdiZiaei
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