Springer Stochastic Models, Statistics and Their Applications - Springer

This comprehensive volume brings together the latest advances in stochastic models and statistical procedures from the 2015 Wroc aw conference. The collection features peer-reviewed contributions covering statistical inference, quality control, change-point analysis and detection, empirical processes, time series analysis, survival analysis and reliability, statistics for stochastic processes, big data applications, statistical genetics, experiment design, and stochastic models in engineering. Whether you work in academia, research, or applied sciences, this Springer proceedings book (volume 122) provides essential methodologies for understanding and solving complex problems involving randomness, uncertainty, and data-driven decision-making across technology and scientific disciplines.