The journal publishes research on advanced statistical estimation techniques for complex data. This includes methods for portfolio optimization with heterogeneous and sparse data, estimation with uncertain and indeterminate data using neutrosophic frameworks, and convergence properties for randomly weighted sums of dependent random variables. Additionally, it covers the application of quantum computing and geometric-entropic optimization for predicting customer churn.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Statistics and ProbabilityQ3
Statistics, Probability and UncertaintyQ3
Subject Classification
Web of Science Categories
Statistics & Probability
Scopus Categories
Statistics, Probability and UncertaintyStatistics and Probability
Research Topics (OpenAlex)
Statistical Methods and InferenceStatistical Distribution Estimation and ApplicationsAdvanced Statistical Methods and ModelsStatistical Methods and Bayesian InferenceBayesian Methods and Mixture Models