Explore the growth of Stochastic Modeling and Statistical Inference in this comprehensive volume. These fields have seen significant research progress 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, or Nonparametric Statistical Inference. This book provides the latest advancements in these areas, making it an essential resource for researchers and practitioners. Explore these evolving fields and stay updated with cutting-edge research. Stochastic Modeling and Statistical Methods: Advances and Applications is your practical guide to the latest developments in data analysis and research methods. This book is a must-read for professionals and students seeking to stay at the cutting edge of this dynamic field.

• Latest breakthroughs in Reliability Engineering, with a current perspective on the field
• Shared practical knowledge of contemporary statistical modeling techniques, enhancing analytical skills
• Probabilistic methods used to investigate various applications in Reliability Engineering