About this product

Product Identifiers

PublisherCRC Press LLC

ISBN-101032593032

ISBN-139781032593036

eBay Product ID (ePID)23064424586

Product Key Features

Number of Pages535 Pages

Publication NameStatistical Inference

LanguageEnglish

Publication Year2024

SubjectProbability & Statistics / General, General

TypeTextbook

Subject AreaMathematics

AuthorRoger Berger, George Casella

SeriesChapman and Hall/Crc Texts in Statistical Science Ser.

FormatHardcover

Dimensions

Item Weight42.9 Oz

Item Length10 in

Item Width7 in

Additional Product Features

Edition Number2

Intended AudienceCollege Audience

LCCN2023-053302

Dewey Edition23/eng/20231120

IllustratedYes

Dewey Decimal519.5/7

Table Of Content1. Probability Theory. 2. Transformations and Expectations. 3. Common Families of Distributions. 4. Multiple Random Variables. 5. Properties of a Random Sample. 6. Principles of Data Reduction. 7. Point Estimation. 8. Hypothesis Testing. 9. Interval Estimation. 10. Asymptotic Evaluations. 11. Analysis of Variance and Regression. 12. Regression Models. 13. Computer Algebra.

SynopsisBasics of probability to theory of statistical inference using techniques, definitions, concepts that are statistical, natural extensions, consequences, of previous concepts. Topics from a standard inference course: distributions, random variables, data reduction, point estimation, hypothesis testing, interval estimation, regression., 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 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 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 Statistical Inference, Second Edition is primarily aimed at graduate students of statistics, but can be used by advanced undergraduate students majoring in statistics who have a solid mathematics background. It also stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures, while less focused on formal optimality considerations. This is a reprint of the second edition originally published by Cengage Learning, Inc. in 2001.

LC Classification NumberQA279.C375 2024