Stochastic Modeling

 
 &

A
pplications



 
ISSN: 0972-3641


Editor In Chief


Debasis Bhattacharya
Visva-Bharati University, Santiniketan, India

Carlo Bianca

Laboratorie de Physique Statistique, Paris, France


Indexing : The journal is index in UGC, Researchgate, Worldcat, Publons

Click Here to Check the UGC Status


Discipline:   Statistics and Probability



                 
              ISSN: 0972-3641

UGC CARE APPROVED JOURNAL

Discipline: Statistics and Probability 

Open AccessThis journal also publishes Open Access articles


Aims and Scope 


The journal aims to publish articles that make significant contributions to the advancement of statistics,probability and other areas of applied sciences where stochastic modeling tools appear to have dominant role in the analysis of complex phenomena. Obituary of renowned scientists and review of books are also published. All materials are to be submitted through online submission system. The primary focus is on parametric and nonparametric inferences in discrete and continuous stochastic processes, density and curve estimation, linear and nonlinear time series models, long-range dependent processes, application to mathematical sciences, economics, social and biological sciences, physical sciences, engineering, finances and insurances. Papers on theoretical works in probability, statistics and stochastic processes are also welcomed.

Paper Submission: All submitted articles should report original, previously unpublished research results, experimental or theoretical, and will be peer-reviewed by at least two referees. Articles submitted to the journal should meet these criteria and must not be under consideration for publication elsewhere. Manuscripts should follow the style of the journal and are subject to both review and editing. All draft papers should directly be submitted to the technical editor or through ONLINE SUBMISSION SYSTEM


Plagiarism: All the articles will be check through Turnitin Software before the publication of the journal. 

Corrections and subscription : Please send mail to publisher related subscription of the journal at mukpublications@gmail.com  


Frequency: Two issues per year are published.

Previous Issues: Any issue prior to 2016 is available only in Print version. 



Indexing
 : The Journal is indexed in UGC-CARE List Group I , Google Scholar, Publon,  Research Gate...

Review Process: This journal uses double-blind review, which means that both the reviewer and author identities are concealed from the reviewers, and vice versa, throughout the review process. The articles is submitted to minimum 3 reviewers specialize on the topic for their reviews. Peer Reviewed Policy   

Stochastic Modeling and Applications (SMA) currently has an acceptance rate of 33% (2022)


Disclaimer: Publisher and editors is not responsible for the misuse of the journal name by the 
fraudulent. Authors requested to submit their article to the journal only.  


Corrections to Published Work:
 

Honest errors are a part of research and publishing and require publication of a correction when they are detected. We expect authors to inform the Journal’s Editor of any errors of fact they have noticed or been informed of in their article once published. Corrections are made at the journal’s discretion. The correction procedure depends on the publication stage of the article, but in all circumstances a correction notice is published as soon as possible. Details can be found on the Call for Papers section of the journal website.  

Retractions: Retractions are considered by journal editors in cases of evidence of unreliable data or findings, plagiarism, duplicate publication, and unethical research. We may consider an expression of concern notice if an article is under investigation. All retraction notices will explain why the article was retracted. The retraction procedure depends on the publication stage of the article.


ABOUT OPEN ACCESS POLICY


Copyrights 

Peer Reviewed Policy

Editorial Board

Instructions to the authors and Sample article


Volume and Issues