Statistical Inference by Casella, George, Berger, Roger L. [Cengage Learning, 2001]2nd edition [Hardcover]
by Roger L. Berger George Casella
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appears in Statistics, Math Science, and Nonfiction.
This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts. This book can be used for readers...
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appears in Statistics, Math Science, and Nonfiction.
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Not sure if this is the right fit?
Consider First Course in Probability, A by Sheldon Ross.
“Sheldon Ross’s First Course in Probability reads like a clear, calculus-based undergraduate textbook: definitions, step-by-step derivations, and many worked examples aimed at building formal comfort with probability. What works best is its mathematical clarity — it pushes you through proofs and algebra so you understand why common distributions and counting arguments work. The main limitation is tone and pacing: chapters can feel terse and formula-heavy, and the bundled diskette/tooling feels dated for readers expecting modern software support.”
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