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Statistical inference / George Casella and Roger L. Berger.

By: Contributor(s): Material type: TextTextSeries: CRC texts in statistical science seriesPublication details: Abingdon, Oxon : CRC Press, c2024.Edition: Second editionDescription: xxix, 535 p. : ill. 26 cmISBN:
  • 9781032593036
  • 9781032597942
Subject(s): Additional physical formats: Online version:: Statistical inferenceDDC classification:
  • 519.5/7 23/eng/20231120
LOC classification:
  • QA279 .C37 2024
Contents:
Probability theory -- Transformations and expectations -- Common families of distributions -- Multiple random variables -- Properties of a random sample -- Principles of data reduction -- Point estimation -- Hypothesis testing -- Interval estimation -- Asymptotic evaluations --Analysis of variance and regression -- Regression models -- Computer algebra
Summary: "This 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 are natural extensions, and consequences, of previous concepts. It covers all the topics from a standard inference course, including distributions, random variables, data reduction, point estimation, hypothesis testing, interval estimation, and regression"--
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Books Books Zetech Library - TRC General Stacks Non-fiction QA279 .C37 2024 (Browse shelf(Opens below)) C 2 Available Z012261
Books Books Zetech Library - TRC General Stacks Non-fiction QA279 .C37 2024 (Browse shelf(Opens below)) C 1 Available Z012260

includes bibliographical references and index.

Probability theory -- Transformations and expectations -- Common families of distributions -- Multiple random variables -- Properties of a random sample -- Principles of data reduction -- Point estimation -- Hypothesis testing -- Interval estimation -- Asymptotic evaluations --Analysis of variance and regression -- Regression models -- Computer algebra

"This 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 are natural extensions, and consequences, of previous concepts. It covers all the topics from a standard inference course, including distributions, random variables, data reduction, point estimation, hypothesis testing, interval estimation, and regression"--

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