Statistical Inference 2nd Edition

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. Intended for first-year graduate students, this book can be used for students majoring in statistics who have a solid mathematics background. It can also be used in a way that stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures for a variety of situations, and less concerned with formal optimality investigations. Statistical Inference 2nd Edition is written by George Casella; Roger L. Berger and published by Cengage Learning. ISBNs for Statistical Inference are 9780357753132, 0357753135 and the print ISBNs are 9780534243128, 0534243126. Additional ISBNs include 9780357753125.