Probability and statistical inference / by Magdalena Niewiadomska-Bugaj, Robert Bartoszyński.
Material type:
TextPublisher: Hoboken, NJ : Wiley-Interscience, 2021Edition: 1st edDescription: xvi, 576 p. 26 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781119243809 (hbk.)Subject(s): Probabilities | Mathematical statisticsAdditional physical formats: Online version:: Probability and statistical inferenceDDC classification: 519.54 LOC classification: QA273 | .B2584 2020Summary: "Probability and Statistical Inference, Third Edition is a user-friendly book that stresses the comprehension of concepts instead of the simple acquisition of a skill or tool. It provides a mathematical framework that permits students to carry out various procedures using R. Its unique approach to problems allows readers to integrate the knowledge gained from the text, thus, enhancing a more complete and honest understanding of the topic. The book focuses on the development of intuition and understanding through diversity of experience. New to this edition, in addition to R code, are a chapter on Bayesian statistics, additional concepts introduced, and new and improved problems and mini-projects. The book is intended for upper-level undergraduates or first year graduate students in the in statistics or related disciplines such as mathematics or engineering, where exposure to statistics is needed"-- Provided by publisher.
| Item type | Current library | Home library | Call number | Status | Notes | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|
| Books | Jayakar Knowledge Resource Centre | Jayakar Knowledge Resource Centre | 519.54 NIE.M (Browse shelf(Opens below)) | Available | 144.95 Dollar | 520944 |
Revised edition of: Probability and statistical inference / Robert Bartoszyński, Magdalena Niewiadomska-Bugaj. 2nd ed. c2008.
Includes bibliographical references and index.
"Probability and Statistical Inference, Third Edition is a user-friendly book that stresses the comprehension of concepts instead of the simple acquisition of a skill or tool. It provides a mathematical framework that permits students to carry out various procedures using R. Its unique approach to problems allows readers to integrate the knowledge gained from the text, thus, enhancing a more complete and honest understanding of the topic. The book focuses on the development of intuition and understanding through diversity of experience. New to this edition, in addition to R code, are a chapter on Bayesian statistics, additional concepts introduced, and new and improved problems and mini-projects. The book is intended for upper-level undergraduates or first year graduate students in the in statistics or related disciplines such as mathematics or engineering, where exposure to statistics is needed"-- Provided by publisher.
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