Probability and Statistical Inference
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Probability and Statistical Inference
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Probability and Statistical Inference
Revised edition of: Probability and statistical inference / Robert BartoszyΓ’nski, Magdalena Niewiadomska-Bugaj. 2nd ed. c2008.
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 recognise 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 practising 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.
Series: Wiley Series in Probability and Statistics
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INFORMATION
ISBN: 9781119243809
Publisher: John Wiley & Sons Inc
Format: Hardback
Date Published: 25 February 2021
Country: United States
Imprint: Wiley-Interscience
Edition: 3rd edition
Audience: Professional and scholarly
DIMENSIONS
Spine width: 28.0mm
Width: 175.0mm
Height: 257.0mm
Weight: 1043g
Pages: 592
About the Author
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 BARTOSZYοΏ½SKI, 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 BartoszyΓ±ski published books, book chapters, and over 100 journal articles.
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