Journal

Stochastics and Quality Control

Editor-in-Chief: George P. Yanev
Founded by: Elart von Collani
Editorial Board: Justin Chimka , Boyan Dimitrov , Indranil Ghosh , Miguel González , Hui He , Vladimir K. Kaishev , Ken Nishina , Abdur Rahim , Ibrahim Rahimov and Erwin M. Saniga

Language: English

First published: April 1, 2001

Publication Frequency: 2 issues per year

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About this journal

Objective
Stochastics and Quality Control is devoted to all fields related to reliability and quality control in economy, finance, manufacturing, production and inventory. It primarily publishes research articles, but survey articles on a topical area inside the scope are considered, too.

The journal pays special attention to the interdisciplinary character of the topic. Not only mathematicians, but also scientists, economists as well as scholars from other disciplines contribute papers. The methods and results published thus are of interest to various applications in real life.

Topics

• Applied Stochastic Processes
• Branching Processes: Theory and Applications
• Reliability
• Ordered Data Analysis
• Statistical Methodology
• Business Management
• Economy and Finance

Article formats
Research and survey articles

Information on submission process

Your Benefits

Your benefits

Up-to-date research on economic quality control
Interdisciplinary approach to the topic
Worldwide-known editors and reviewers
Rapid online publication of contributions “ahead-of-print”

History

History
Economic Quality Control (now, Stochastics and Quality Control) has emerged from the identically named Newsletter of the “Würzburg Research Group on Quality Control” which was founded in 1986 by Bernhard F. Arnolds, Elart von Collani and John Sheil. Until 2009 the journal was published in cooperation with Heldermann Verlag.　

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A τ-Power Stochastic Rayleigh Diffusion Model: Computational Aspects, Simulation and Predictive Analysis

March 28, 2025

Yassine Chakroune, Abdenbi El Azri, Ahmed Nafidi

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The overall idea of this paper is to introduce a new family of inhomogeneous stochastic Rayleigh diffusion processes and use them to predict and forecast simulated data after establishing the main characteristics of these kinds of processes. They are interesting models for infectious diseases, health and renewable energies. First of all, we define the new processes by means of a τ-power of the stochastic Rayleigh diffusion model. Then the most important features of the process are examined, with particular attention to its analytic expression, transition probability density function and mean functions. Otherwise, the parameters that appear in the present model are estimated by maximum likelihood with discrete sampling. Lastly, in order to assess the quality of this process, we will use these statistical computations for simulated examples, specifying fitting and prediction possibilities.
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Classical and Bayesian Estimation of PCI 𝒞_pc Using Power Generalized Weibull Distribution

February 10, 2025

Sanku Dey, Mahendra Saha, Shen Zhang, Min Wang

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This article focuses on estimating the process capacity index (PCI), 𝒞 pc \mathcal{C}_{\rm pc} , where the underlying distribution is a power generalized Weibull distribution, using maximum likelihood and Bayesian techniques. The 𝒞 pc \mathcal{C}_{\rm pc} index may be used to both normal and non-normal quality attributes. This article aims to accomplish three things: Using the maximum likelihood approach, we first determine the estimator of the PCI 𝒞 pc \mathcal{C}_{\rm pc} . Secondly, the Metropolis-Hastings Algorithm is used to study Bayesian estimation under four loss functions (symmetric and asymmetric). Third, the index 𝒞 pc \mathcal{C}_{\rm pc} ’s 95 confidence intervals are built using Bayesian and four bootstrap techniques. The point estimates of 𝒞 pc \mathcal{C}_{\rm pc} have been evaluated using Monte Carlo simulation in terms of mean square errors (MSEs), four bootstrap methods, and highest posterior density (HPD) credible intervals in relation to their average width (AW) and coverage probabilities (CPs). Using two real data sets – one pertaining to the size of electrical connections and the other to the amount of protein (in g) for adult patients at the Hospital Carlos Van Buren in Valparaiso, Chile – a comparable analysis to that employed in the simulations is conducted in order to illustrate the effectiveness of the suggested methods.

Special Issue Dedicated to the 80th Anniversary of Professor Nikolay Yanev a.k.a. The Captain

Special Issue: Branching Processes and Their Applications: Proceedings of the 5th International Workshop on Branching Processes and Their Applications – IWBPA 2021, April 2021, University of Extremadura, Badajoz, Spain, Guest Editors: Miguel González, Manuel Molina and Inés M. del Puerto

Stochastics and Quality Control publishes special and thematic issues focussed on important and emerging topics in the field of study. The journal has established a rigorous process to ensure that any special issue manuscripts follow the same high-quality standards and peer review processes as regular manuscripts. For further information on the journal’s peer review policy please see the "Instructions for Authors".

Recent Special Issues

Volume 39 | Issue 1 Special Issue Dedicated to the 80th Anniversary of Professor Nikolay Yanev a.k.a. The Captain

CiteScore	1.1	2024, Scopus (Elsevier B.V., 2025)
SCImago Journal Rank	0.333	2024, SJR (Scimago Lab, 2025; Data Source: Scopus)
Source Normalized Impact per Paper	0.875	2024, CWTS Journal Indicators (CWTS B.V., 2025; Data Source: Scopus)

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Submission process

Submit your paper via our Scholar One submission management tool following the Information for Authors. After logging in you will be guided through every step of the submission process
Stochastics and Quality Control applies a single-blind peer review model
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Accepted articles are published online ahead of print

Please note

Manuscripts must be written in clear and concise English
Before submitting your article please have a look at the Ethical Guidelines and our Copyright Transfer Agreement
Once your article is accepted you have the option to publish it open access
Our Repository Policy allows you to distribute 30 PDF copies of your published article to colleagues (the PDF has to include the information that it is an author's copy). Please also feel free to distribute the link to the online abstract
If you have any general questions please visit our FAQ page for authors

We look forward to receiving your manuscript!

Hybrid Open Access

Please note that authors from institutions with which we have a transformative agreement can publish open access without paying an article processing charge (APC). More information on the eligible institutions and articles can be found under the "Funding and Support" tab here.

Editor-in-Chief

George P. Yanev
School of Mathematical and Statistical Sciences
The University of Texas Rio Grande Valley
1201 West University Drive
Edinburg, Texas 78539-2999
USA
Email: george.yanev@utrgv.edu

Founding Editor

Elart von Collani
Stochastikon GmbH
Schießhausstr. 15
97072 Würzburg
Germany
Email: collani@stochastikon.com

Associate Editors

Justin R. Chimka
Department of Industrial Engineering
University of Arkansas
4207 Bell Engineering Center
Fayetteville, AR 72701
USA
Email: jchimka@uark.edu

Boyan Dimitrov
Science and Mathematics Department
Kettering University
1700 West Third Avenue
Flint, MI 48504-4898
USA
Email: bdimitro@kettering.edu

Miguel González
Department of Mathematics
University of Extremadura
Avda. de Elvas, s/n
06071 Badajoz
Spain
Email: mvelasco@unex.es

Indranil Ghosh
Department of Mathematics and Statistics 　
University of North Carolina, Wilmington, NC
Email: todrindranilghosh@gmail.com

Hui He
School of Mathematical Sciences
Beijing Normal University
Beijing 100875, P. R. China
Email: hehui@bnu.edu.cn

Vladimir K. Kaishev
Faculty of Actuarial Science and Insurance
Cass Business School, City University London
106 Bunhill Row
London EC1Y 8TZ
UK
Email: v.kaishev@city.ac.uk

Ken Nishina
Nagoya Institute of Technology
Gokiso-cho, Showa-ku
Nagoya, Aichi, 466-8555
Japan
Email: nishina@nitech.ac.jp

Ibrahim Rahimov
MIS Program
Webster University-Tashkent
13 Navoiy Avenue
Uzbekistan
Email: ibrakhimjonrakhimov@gmail.com

Erwin Saniga
Department of Business Administration
University of Delaware
Newark, Delaware 19716
USA
Email: sanigae@be.udel.edu

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Journal information

Additional information

eISSN:

2367-2404

ISSN:

2367-2390

Language:

English

Publisher:

De Gruyter

Additional information

First published:

April 1, 2001

Publication Frequency:

2 issues per year

eISSN: 2367-2404

ISSN: 2367-2390

Audience(s) for this journal

mathematicians, scientists, economists as well as scholars from other disciplines

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Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com

Stochastics and Quality Control

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