Elementary probability theory is explored through engaging applications that effectively illustrate key concepts. The book begins with a foundational chapter on differential calculus, providing essential tools for understanding the subsequent material. This blend of theory and practical examples makes complex ideas more accessible to readers.
Covering applied probability comprehensively, the book starts with an introduction and progresses through random variables, stochastic processes, and estimation techniques. It includes both solved and unsolved problems, along with review questions to reinforce learning. Historical notes on notable mathematicians add context and depth to the subject, making it an engaging resource for students and enthusiasts alike.
This book offers a practical approach to key topics in stochastic processes, such as Gaussian and Markovian processes, Markov Chains, and queueing theory. It features detailed discussions on diffusion processes, numerous examples, and around 350 advanced problems. Mini-biographies of mathematicians provide historical context, along with statistical tables and solutions to select problems.