An Introduction to Probability and Statistical Inference 3rd Edition
An Introduction to Probability and Statistical Inference, 3rd Edition by George G. Roussas is a clear, rigorous guide that bridges foundational probability theory with practical statistical inference. Ideal for advanced undergraduates, graduate students, and practicing statisticians, this edition combines mathematical precision with accessible explanations to build confidence in both theory and application.
Begin with a compelling exposition of probability foundations—random variables, distributions, expectation, and convergence—and move smoothly into statistical inference: point and interval estimation, hypothesis testing, likelihood methods, and asymptotic theory. The author balances formal proofs with intuitive discussion and worked examples, helping readers grasp abstract concepts and apply them to real-world problems in engineering, economics, biology, and data science.
Whether you’re preparing for graduate coursework, conducting research, or teaching, this textbook delivers a structured learning path. Carefully designed exercises develop problem-solving skills, while clear notation and consistent pedagogy make complex topics approachable. The 3rd edition reflects refinements that improve readability and classroom usability, making it a dependable choice for university courses across North America, Europe, Asia, and beyond.
With its emphasis on both probability theory and statistical methods, this volume is an essential resource for anyone serious about mastering inference: from parameter estimation and hypothesis testing to large-sample behavior and practical modelling strategies. Concise, authoritative, and engaging, it supports a deep understanding that translates into confident statistical practice.
Add An Introduction to Probability and Statistical Inference, 3rd Edition by George G. Roussas to your library today — a smart investment for students, instructors, and professionals seeking a dependable, globally relevant reference in probability and statistics.
Note: eBooks do not include supplementary materials such as CDs, access codes, etc.


