Description
Book SynopsisThis classic textbook 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 natural extensions, and consequences, of previous concepts. It covers all topics from a standard inference course including: distributions, random variables, data reduction, point estimation, hypothesis testing, and interval estimation.
Features
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The classic graduate-level textbook on statistical inference
- Develops elements of statistical theory from first principles of probability
- Written in a lucid style accessible to anyone with some background in calculus
- Covers all key topics of a standard course in inference
- Hundreds of examples throughout to aid understanding
- Each chapter includes an extensive set of graduated exercises
