Statistical Inference in Stochastic Processes

Explore the intricate world of statistical inference with "Statistical Inference in Stochastic Processes" by N.U. Prabhu, published by Taylor & Francis Inc in 1990. This insightful hardback edition spans 288 pages, presenting a thorough analysis of probabilistic models and statistical techniques. The book comprises eleven contributed papers that not only cover the theoretical aspects but also delve into practical applications within image analysis and processing.

Uncover sophisticated likelihood methods that enhance your understanding of parameters influencing drift and jump mechanisms in stochastic processes. Whether you are a student, researcher, or a professional in the fields of mathematics, statistics, or quality control, this book will serve as a valuable resource. Equip yourself with the tools needed to apply statistical techniques effectively in real-life scenarios, enhancing both your knowledge and application skills in the rapidly evolving domain of statistical science.