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Axioms
Special Issues
Computational Statistics and Its Applications
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Special Issue "Computational Statistics and Its Applications"

A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Mathematical Analysis".

Deadline for manuscript submissions: 20 March 2024 | Viewed by 661

Special Issue Editors

Prof. Dr. Eva T. López Sanjuán

E-Mail Website
Guest Editor
Dpto. de Matemáticas, Facultad de Ciencias, Universidad de Extremadura, Badajoz, Spain
Interests: bayesian statistics; extreme value theory; applied statistics; ICT
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. María Isabel Parra Arévalo

E-Mail Website
Guest Editor
Dpto. de Matemáticas, Facultad de Ciencias, Universidad de Extremadura, Badajoz, Spain
Interests: bayesian statistics; extreme value theory; applied statistics; ICT
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Computational statistics has become an essential basis for modern science in almost every field. Computational statistics uses algorithms and numerical methods to solve a multitude of problems, such as parameter estimation, hypothesis testing, and statistical modelling.

In this Special Issue, we are seeking high-quality research papers in areas of applied and computational statistics. Topics of interest include but are not limited to the following:

  • Probability theory;
  • Applied statistics;
  • Bayesian statistics;
  • Statistical analysis;
  • Multivariate statistics;
  • Regression models;
  • Statistical inference;
  • Sampling methods;
  • Statistics algorithms and software;
  • Digital technologies for statistics.

Prof. Dr. Eva T. López Sanjuán
Prof. Dr. María Isabel Parra Arévalo
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Axioms is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • applied statistics
  • Bayesian statistics
  • statistical analysis
  • regression models
  • statistical inference
  • likelihood-free inference
  • sampling methods
  • statistics algorithms and software
  • digital technologies for statistics

Published Papers (1 paper)

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Research

12 pages, 301 KiB  
Article
Equation of Finite Change and Structural Analysis of Mean Value
by
Stan Lipovetsky
Axioms 2023, 12(10), 962; https://doi.org/10.3390/axioms12100962 - 12 Oct 2023
Viewed by 490
Abstract
This paper describes a problem of finding the contributions of multiple variables to a change in their function. Such a problem is well known in economics, for example, in the decomposition of a change in the mean price via the varying in time [...] Read more.
This paper describes a problem of finding the contributions of multiple variables to a change in their function. Such a problem is well known in economics, for example, in the decomposition of a change in the mean price via the varying in time prices and volumes of multiple products. Commonly, it is considered by the tools of index analysis, the formulae of which present rather heuristic constructs. As shown in this work, the multivariate version of the Lagrange mean value theorem can be seen as an equation of the function’s finite change and solved with respect to an interior point whose value is used in the estimation of the contribution of the independent variables. Consideration is performed on the example of the weighted mean value function, which is the main characteristic of statistical estimation in various fields. The solution for this function can be obtained in the closed form, which helps in the analysis of results. Numerical examples include the cases of Simpson’s paradox, and practical applications are discussed. Full article
(This article belongs to the Special Issue Computational Statistics and Its Applications)
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