Description

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

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£71.73

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Hardback by Roger Berger , George Casella

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This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors... Read more

    Publisher: Cengage Learning, Inc
    Publication Date: 18/06/2001
    ISBN13: 9780534243128, 978-0534243128
    ISBN10: 0534243126

    Number of Pages: 688

    Non Fiction , Mathematics & Science , Education

    Description

    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.

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