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Probability and stochastic processes offers a comprehensive and approachable guide for students and professionals in engineering, physics, and related fields. This edition brings significant updates, fresh examples, and expanded coverage—all while preserving the clarity and structure that have made the book a trusted resource for decades. Designed for learners who seek more than just equations, this book emphasizes understanding the "why" behind core concepts. It carefully develops topics such as random variables, probability distributions, expectations, and stochastic models through step-by-step explanations and real-world applications. From classical problems like the gambler's ruin to modern techniques in parameter estimation and Queueing theory, the content is both rigorous and relevant.

Highlights of the fifth edition include:

•  Substantial updates to Chapters 3 to 5 with new examples and practical illustrations

•  Expanded coverage of estimation theory, Markov chains, and Queueing systems

•  Two entirely new chapters on Markov models and branching processes

•  Revised content throughout to improve clarity and accessibility

•  Broad support for course customization, from undergraduate to graduate-level topics

With over 1,000 carefully structured equations and numerous problem sets, the book is ideal for one-semester courses in probability, stochastic processes, and statistical modeling. Whether you are a student, educator, or practicing engineer, this book provides the tools to develop a strong foundation and apply probabilistic thinking in real-world settings.