Journal of Statistical Modelling: Theory and Applications
Journal of Statistical Modelling: Theory and Applications (JSMTA) publishes original research papers in the area of statistical modelling, in two issues per year. Great importance is attached to new developments in statistical modeling and to the actual innovative applicability of the proposed statistical methods and results. Topics of interest include, without being limited to, multivariate analysis, high dimensional statistics and nonparametric statistics, categorical data analysis and latent variable models, reliability, lifetime data analysis and statistics in engineering sciences. This journal adheres to the publication ethics and malpractice policies outlined by Committee on Publication Ethics (COPE) and complies with the highest ethical standards in accordance with ethical laws.
This free-of-charge open-access peer-review journal is strongly against any unethical act of copying or plagiarism in any form. Plagiarism is said to have occurred when large portions of a manuscript have been copied from existing previously published resources. All manuscripts submitted for publication to JSMTA are cross-checked for plagiarism using Turnitin or iThenticate software. Manuscripts found to be plagiarized during the initial stages of review are out-rightly rejected and not considered for publication in the journal. In case a manuscript is found to be plagiarized after publication, the Editor-in-Chief will conduct a preliminary investigation, maybe with the help of a suitable committee constituted for the purpose.