Journal of Statistical Modelling: Theory and Applications (JSMTA) publishes original research, review, applied and technical 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.
All manuscripts submitted for publication to JSMTA are cross-checked for plagiarism using Turnitin or iThenticate software. This journal adheres to the publication ethics and malpractice policies outlined by Committee on Publication Ethics (COPE) and complies with the highest ethical standards under ethical laws.
The journal office address: