Mathematics | Top 10 Highly Viewed Papers in 2023–2024 from the “Probability and Statistics” Section

We are pleased to announce the top 10 highly viewed papers in 2023 and 2024 from the “Probability and Statistics” Section of Mathematics (ISSN: 2227-7390), carefully selected for their exceptional quality and relevance. These papers, which we welcome you to read, represent cutting-edge research in the theory and application of probability and statistics.

1. “Phi, Fei, Fo, Fum: Effect Sizes for Categorical Data That Use the Chi-Squared Statistic”
by Mattan S. Ben-Shachar, Indrajeet Patil, Rémi Thériault, Brenton M. Wiernik and Daniel Lüdecke
Mathematics 2023, 11(9), 1982; https://doi.org/10.3390/math11091982
Full text available online: https://www.mdpi.com/2227-7390/11/9/1982

2. “An In-Depth Review of the Weibull Model with a Focus on Various Parameterizations”
by Yolanda M. Gómez, Diego I. Gallardo, Carolina Marchant, Luis Sánchez and Marcelo Bourguignon
Mathematics 2024, 12(1), 56; https://doi.org/10.3390/math12010056
Full text available online: https://www.mdpi.com/2227-7390/12/1/56

3. “A Review of Representative Points of Statistical Distributions and Their Applications”
by Kai-Tai Fang and Jianxin Pan
Mathematics 2023, 11(13), 2930; https://doi.org/10.3390/math11132930
Full text available online: https://www.mdpi.com/2227-7390/11/13/2930

4. “Machine Learning Alternatives to Response Surface Models”
by Badih Ghattas and Diane Manzon
Mathematics 2023, 11(15), 3406; https://doi.org/10.3390/math11153406
Full text available online: https://www.mdpi.com/2227-7390/11/15/3406

5. “Semi-Markov Models for Process Mining in Smart Homes”
by Sally McClean and Lingkai Yang
Mathematics 2023, 11(24), 5001; https://doi.org/10.3390/math11245001
Full text available online: https://www.mdpi.com/2227-7390/11/24/5001

6. “Adaptive Nonparametric Density Estimation with B-Spline Bases”
by Yanchun Zhao, Mengzhu Zhang, Qian Ni and Xuhui Wang
Mathematics 2023, 11(2), 291; https://doi.org/10.3390/math11020291
Full text available online: https://www.mdpi.com/2227-7390/11/2/291

7. “Unit Distributions: A General Framework, Some Special Cases, and the Regression Unit-Dagum Models”
by Francesca Condino and Filippo Domma
Mathematics 2023, 11(13), 2888; https://doi.org/10.3390/math11132888
Full text available online: https://www.mdpi.com/2227-7390/11/13/2888

8. “Digital Triplet: A Sequential Methodology for Digital Twin Learning”
by Xueru Zhang, Dennis K. J. Lin and Lin Wang
Mathematics 2023, 11(12), 2661; https://doi.org/10.3390/math11122661
Full text available online: https://www.mdpi.com/2227-7390/11/12/2661

9. “Markovian Restless Bandits and Index Policies: A Review”
by José Niño-Mora
Mathematics 2023, 11(7), 1639; https://doi.org/10.3390/math11071639
Full text available online: https://www.mdpi.com/2227-7390/11/7/1639

10. “An Approach to Integrating a Non-Probability Sample in the Population Census”
by Ieva Burakauskaitė and Andrius Čiginas
Mathematics 2023, 11(8), 1782; https://doi.org/10.3390/math11081782
Full text available online: https://www.mdpi.com/2227-7390/11/8/1782