Hardcover. Updated classic statistics text, with new problems and examples Probability and Statistical Inference, Third Edition helps students grasp essential concepts of statistics and its probabilistic foundations. This book focuses on the development of intuition and understanding in the subject through a wealth of examples illustrating concepts, theorems, and methods. The reader will recognize and fully understand the why and not just the how behind the introduced material. In this Third Edition, the reader will find a new chapter on Bayesian statistics, 70 new problems and an appendix with the supporting R code. This book is suitable for upper-level undergraduates or first-year graduate students studying statistics or related disciplines, such as mathematics or engineering. This Third Edition: Introduces an all-new chapter on Bayesian statistics and offers thorough explanations of advanced statistics and probability topicsIncludes 650 problems and over 400 examples - an excellent resource for the mathematical statistics class sequence in the increasingly popular "flipped classroom" formatOffers students in statistics, mathematics, engineering and related fields a user-friendly resourceProvides practicing professionals valuable insight into statistical tools Probability and Statistical Inference offers a unique approach to problems that allows the reader to fully integrate the knowledge gained from the text, thus, enhancing a more complete and honest understanding of the topic. Revised edition of: Probability and statistical inference / Robert Bartoszyanski, Magdalena Niewiadomska-Bugaj. 2nd ed. c2008. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Dati bibliografici

Titolo: Probability and Statistical Inference (Hardcover)
Editore: John Wiley & Sons Inc, Hoboken
Data di pubblicazione: 2021
Lingua: Inglese
ISBN 10: 1119243807
ISBN 13: 9781119243809
Rilegatura: Hardcover
Edizione: terza edizione
Condizione: new

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Riassunto

Updated classic statistics text, with new problems and examples

Probability and Statistical Inference, Third Edition helps students grasp essential concepts of statistics and its probabilistic foundations. This book focuses on the development of intuition and understanding in the subject through a wealth of examples illustrating concepts, theorems, and methods. The reader will recognize and fully understand the why and not just the how behind the introduced material.

In this Third Edition, the reader will find a new chapter on Bayesian statistics, 70 new problems and an appendix with the supporting R code. This book is suitable for upper-level undergraduates or first-year graduate students studying statistics or related disciplines, such as mathematics or engineering. This Third Edition:

Introduces an all-new chapter on Bayesian statistics and offers thorough explanations of advanced statistics and probability topics
Includes 650 problems and over 400 examples - an excellent resource for the mathematical statistics class sequence in the increasingly popular "flipped classroom" format
Offers students in statistics, mathematics, engineering and related fields a user-friendly resource
Provides practicing professionals valuable insight into statistical tools

Probability and Statistical Inference offers a unique approach to problems that allows the reader to fully integrate the knowledge gained from the text, thus, enhancing a more complete and honest understanding of the topic.

Informazioni sull?autore

MAGDALENA NIEWIADOMSKA-BUGAJ, PHD, is Professor and Chair of the Statistics Department at Western Michigan University. Dr. Niewiadomska-Bugaj's areas of interest include general statistical methodology, nonparametric statistics, classification, and categorical data analysis. She has published over 50 papers, books, and book chapters in theoretical and applied statistics

The late ROBERT BARTOSZY?SKI, PHD, was Professor in the Department of Statistics at The Ohio State University. His scientific contributions included research in the theory of stochastic processes and modeling biological phenomena. Throughout his career, Dr Bartoszy?ski published books, book chapters, and over 100 journal articles.

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