<b>Updated classic statistics text, with new problems and examples</b><i><br /></i><br /><i>Probability and Statistical Inference, Third Edition</i> 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. <br /><br />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: <br /> <ul> <li>Introduces an all-new chapter on Bayesian statistics and offers thorough explanations of advanced statistics and probability topics</li> <li>Includes 650 problems and over 400 examples – an excellent resource for the mathematical statistics class sequence in the increasingly popular “flipped classroom” format</li> <li>Offers students in statistics, mathematics, engineering and related fields a user-friendly resource</li> <li>Provides practicing professionals valuable insight into statistical tools </li> </ul> <i>Probability and Statistical Inference </i>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.
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