Stochastic Modeling and Statistical Methods

Advances and Applications

Ioannis S. Triantafyllou, Sonia Malefaki, Alex Karagrigoriou (Herausgeber)

Buch | Softcover

334 Seiten

2025
Academic Press Inc (Verlag)
978-0-443-31694-4 (ISBN)

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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.

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. 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. 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.

1. Inference of one-shot devices with Weibull component lifetimes under Gamma frailty model
2. Signature Reliability Detection and Performance Optimization of Low Cost Autonomous Robot Vacuum Cleaner Via-UGFT
3. The √n-consistency of the empirical estimator of stationary probability of semi-Markov chains
4. Alternative transient solutions for semi-Markov redundant systems in Reliability Engineering
5. Parametric estimation of censored semi-Markov chains
6. Understanding a system’s performance in the presence of k-out-of-n: F and standby redundancy A reliability approach through Markov process
7. On some occurrence rates for Markov processes with application
8. Interval-censored reliability tests under lognormal lifetimes
9. Selective Review of Penalized Learning Methods for Event Processes
10. Hidden Markov Models for Aviation Prognostics
11. Stochastic modeling of the elastic properties of carbon-fiber-reinforced 3D printed filaments using polynomial chaos expansion
12. Stochastic Functionally Pooled Models for Diagnostics and Prognostics in Engineering
13. The application of Drifting Markov Modelling to Dynamics Skill Acquisition
14. A multi-granularity smart rejuvenation framework for a two-unit series system
15. Fitting a managed population model using ABC

Erscheinungsdatum	03.07.2025
Reihe/Serie	Advances in Reliability Science
Verlagsort	San Diego
Sprache	englisch
Maße	152 x 229 mm
Gewicht	450 g
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
	Informatik ► Software Entwicklung ► User Interfaces (HCI)
	Mathematik / Informatik ► Mathematik ► Statistik
	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
	Technik ► Maschinenbau
ISBN-10	0-443-31694-5 / 0443316945
ISBN-13	978-0-443-31694-4 / 9780443316944
Zustand	Neuware