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Probability and Statistical Inference

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Probability and Statistical Inference by Robert Bartoszynski and Magdalena Niewiadomska-Bugaj is a comprehensive exploration into the foundational concepts of probability theory and statistical methods. The book covers essential topics like probability models, random variables, and statistical inference, designed to build a solid understanding for students and professionals alike. It integrates theory with practical applications, making it suitable for those seeking both academic knowledge and practical statistical tools.
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Format: Hardback
$27699
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

You might enjoy this book if you have an interest in understanding the mathematical foundations of probability and statistics. It provides a comprehensive exploration of statistical inference, perfect for those who seek to deepen their knowledge in the field and apply these principles to real-world scenarios.

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Probability and Statistical Inference

Revised edition of: Probability and statistical inference / Robert BartoszyΓ’nski, Magdalena Niewiadomska-Bugaj. 2nd ed. c2008.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

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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Book Details

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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