Stochastic Modeling and Statistical Methods
Advances and Applications
- 1st Edition - July 28, 2025
- Latest edition
- Editors: Ioannis S. Triantafyllou, Sonia Malefaki, Alex Karagrigoriou
- Language: English
Stochastic Modeling and Statistical Methods: Advances and Applications is the practical guide to the latest developments in data analysis and research methods. The book explor… Read more
Stochastic Modeling and Statistical Methods: Advances and Applications is the practical guide to the latest developments in data analysis and research methods. The book explores the significant research progress that has been seen in recent decades, offering vital tools for analyzing modern applications and real data. Topics covered include Dynamic Reliability, Stochastic Modeling, System Maintainability, and Parametric, Semi-Parametric, and Nonparametric Statistical Inference. Readers will find the latest advancements in these areas, making it an essential resource for researchers and practitioners who want to explore these evolving fields and stay updated on cutting-edge research.
- Presents the latest breakthroughs in Reliability Engineering, along with current perspectives on the field
- Includes shared, practical knowledge of contemporary statistical modeling techniques, thus enhancing analytical skills
- Covers the probabilistic methods used to investigate various applications in Reliability Engineering
Academic audience in the fields of Reliability Engineering, Statistical Modelling and Industrial Statistics. The proposed book is aimed at academic researchers working in relevant topics. The book is expected to be (as much as possible) self-contained in order to provide a readable and user-friendly handbook
1. Inference of one-shot devices with Weibull component lifetimes under Gamma frailty model.
Narayanaswamy Balakrishnan Sr.
2. Signature Reliability Detection and Performance Optimization of Low Cost Autonomous Robot Vacuum Cleaner Via-UGFT.
Akshay Kumar
3. The √n-consistency of the empirical estimator of stationary probability of semi-Markov chains
Limnios Nikolaos, Maria L. Gámiz and M. C. Segovia-Garcia
4. Alternative transient solutions for semi-Markov redundant systems in Reliability Engineering
KAKUBAVA REVAZ and Khurodze Ramaz
5. Parametric estimation of censored semi-Markov chains
Barbu Vlad Stefan, Florian Lecocq and Nicolas Vergne
6. Understanding a system’s performance in the presence of k-out-of-n: F and standby redundancy: A reliability approach through Markov process.
Amit Kumar and Pardeep Kumar
7. On some occurrence rates for Markov processes with application.
Guglielmo D’Amico
8. Interval-censored reliability tests under lognormal lifetimes
Pardo Leandro and María Jaenada
9. Selective Review of Penalized Learning Methods for Event Processes
Myrto Limnios and Niels Richard Hansen
10. Hidden Markov Models for Aviation Prognostics.
Nick Eleftheroglou, Thanos Kontogiannis and Mariana Salinas-Camus
11. Stochastic modeling of the elastic properties of carbon-fiber-reinforced 3D printed filaments using polynomial chaos expansion.
Polyzos Efstratios
12. Stochastic Functionally Pooled Models for Diagnostics and Prognostics in Engineering.
Sakellariou S. John
13. The application of Drifting Markov Modelling to Dynamics Skill Acquisition.
Ludovic Seifert and KALLIGERIS EMMANOUIL NEKTARIOS
14. A multi-granularity smart rejuvenation framework for a two-unit series system.
Koutras Vasilis
15. Fitting a managed population model using ABC
Owen Dafydd Jones
Narayanaswamy Balakrishnan Sr.
2. Signature Reliability Detection and Performance Optimization of Low Cost Autonomous Robot Vacuum Cleaner Via-UGFT.
Akshay Kumar
3. The √n-consistency of the empirical estimator of stationary probability of semi-Markov chains
Limnios Nikolaos, Maria L. Gámiz and M. C. Segovia-Garcia
4. Alternative transient solutions for semi-Markov redundant systems in Reliability Engineering
KAKUBAVA REVAZ and Khurodze Ramaz
5. Parametric estimation of censored semi-Markov chains
Barbu Vlad Stefan, Florian Lecocq and Nicolas Vergne
6. Understanding a system’s performance in the presence of k-out-of-n: F and standby redundancy: A reliability approach through Markov process.
Amit Kumar and Pardeep Kumar
7. On some occurrence rates for Markov processes with application.
Guglielmo D’Amico
8. Interval-censored reliability tests under lognormal lifetimes
Pardo Leandro and María Jaenada
9. Selective Review of Penalized Learning Methods for Event Processes
Myrto Limnios and Niels Richard Hansen
10. Hidden Markov Models for Aviation Prognostics.
Nick Eleftheroglou, Thanos Kontogiannis and Mariana Salinas-Camus
11. Stochastic modeling of the elastic properties of carbon-fiber-reinforced 3D printed filaments using polynomial chaos expansion.
Polyzos Efstratios
12. Stochastic Functionally Pooled Models for Diagnostics and Prognostics in Engineering.
Sakellariou S. John
13. The application of Drifting Markov Modelling to Dynamics Skill Acquisition.
Ludovic Seifert and KALLIGERIS EMMANOUIL NEKTARIOS
14. A multi-granularity smart rejuvenation framework for a two-unit series system.
Koutras Vasilis
15. Fitting a managed population model using ABC
Owen Dafydd Jones
- Edition: 1
- Latest edition
- Published: July 28, 2025
- Language: English
IT
Ioannis S. Triantafyllou
Ioannis S. Triantafyllou is an Assistant Professor at the Department of Statistics and Insurance Science of the University of Piraeus. His research interests focus on the area of Statistical Reliability Theory and Nonparametric Statistical Quality Control. More than 60 research papers of him in the field of Applied Probability and Statistics have been published in international scientific journals and edited volumes. In the literature, there exist more than 500 citations of his research work, while he has served as a referee for 35 international scientific journals. He serves as an Associate Editor for International Journal of Mathematical Engineering and Management Sciences (indexed by Web of Science) and as a Reviewer for Mathematical Reviews/MathSciNet (by American Mathematical Society). He has served as Guest Editor for special issues published in two scientific journals indexed by Web of Science and Scopus.
Affiliations and expertise
Assistant Professor, Department of Statistics and Insurance Science, University of Piraeus, GreeceSM
Sonia Malefaki
Sonia Malefaki is an Assistant Professor at the Department of Mechanical Engineering & Aeronautics of the University of Patras. Her research interests are mainly in computational statistics, simulation methods, Monte Carlo and Markov chain Monte Carlo methods. She works also on Bayesian Statistics, Markov and semi Markov processes, hidden Markov/semi Markov models, reliability and maintenance. She is the author of 36 papers in international journals and edited volumes and more than 15 papers in international conference proceedings with referees. In the literature, there exist 698 citations (google scholar) of her research work, while he has served as a referee for 16 international scientific journals. She has served as Guest Editor on the special issue on Reliability and Stochastic Processes of the Journal of Reliability and Statistical Studies JRSS.
Affiliations and expertise
Assistant Professor, Department of Mechanical Engineering and Aeronautics, University of Patras, GreeceAK
Alex Karagrigoriou
Alex Karagrigoriou is a Professor of Probability and Statistics at the Department of Statistics and Actuarial-Financial Mathematics of the University of the Aegean. His research activities cover various areas of Statistics such as Applied Probability, Mathematical Statistics, Statistical Modeling, Time Series Analysis, Goodness of fit tests, Markov and semi-Markov Processes, Stochastic Modelling, Statistical Quality Control and Reliability Theory. He has published more than 100 articles (journals & collective volumes), edited or co-edited 15 collective volumes & special issues and has given more than 80 invited presentations in international conferences, and universities all over the world. His work has received (according to Scopus) more than 600 citations (h-index=12). His ORCID id is 0000-0002-4919-2133. Finally, he has been involved in the organization of conferences, workshops and summer schools and has great experience in the design and execution of research projects with external funding which involve statistical analysis of (bio)medical and (socio)economic data.
Affiliations and expertise
Professor of Probability and Statistics, Department of Statistics and Actuarial-Financial Mathematics, University of the Aegean, GreeceRead Stochastic Modeling and Statistical Methods on ScienceDirect