Springer Stochastic Models, Statistics and Their Applications

This academic volume from Springer presents the latest advances and trends in stochastic models and related statistical procedures. Based on the conference held in Wroclaw, Poland, in February 2015, this book serves as a comprehensive resource for researchers and professionals in the field of mathematics and statistics. The content features selected peer-reviewed contributions that cover a wide range of specialized topics. Readers will find detailed explorations of statistical inference, quality control, and change-point analysis and detection. The text also addresses empirical processes, time series analysis, and survival analysis and reliability. As data science evolves, this volume provides necessary insights into statistics for stochastic processes and the role of big data in technology and the sciences. It further explores statistical genetics, experiment design, and the application of stochastic models in engineering. This collection is an important tool for furthering the understanding of complex statistical methodologies and their practical applications across various scientific disciplines.