Elementary Probability for Applications 1st Edition by Rick Durrett (PDF)

Description

This clear and lively introduction to probability theory concentrates on the results that are the most useful for applications, including combinatorial probability and Markov chains. Concise and focused, it is designed for a one-semester introductory course in probability for students who have some familiarity with basic calculus. Reflecting the author’s philosophy that the best way to learn probability is to see it in action, there are more than 350 problems and 200 examples. The examples contain all the old standards such as the birthday problem and Monty Hall, but also include a number of applications not found in other books, from areas as broad ranging as genetics, sports, finance, and inventory management.

User’s Reviews

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐I found the book to be just fine. While it does have several typos and a few incorrect answers in the back of the book, it is not a bad text book. Probability is a subject that allows its users to “think out side the box”. Its not meant to be a read once and never think again subject. In that regard, this book does a good job. I found that at times this book felt cumbersome. When I thought about the topics and on occasion referenced previous pages, it flowed smoothly. The purpose of this textbook is to teach by example, if that is not a learning style that you thrive in, consider buying “Mathematical Statistics and Data Analysis” by John Rice as it focuses on a more traditional learning style.

⭐If you are looking for a rigorous introduction to probability, look elsewhere. This book basically skips over anything theoretical, instead going straight into examples. The examples were fun, but I really didn’t appreciate the example based learning. I would have rather been told the theory behind the mechanics first, then do examples.I found Introduction to Probability by Bertsekas and Tsitsikilis much more intuitive and in depth with its explanations. Plus, its solutions are available online.

⭐Example problems in the book are very poorly described and hard to understand. Numerous examples introduce variables and notation without any clear explanation as to what they are. Since there is no theory and poor explanation of examples, I see little value in this book. I found much of it impossible to understand.

⭐This books content is decent, however a lot of the proofs contain typos, making them hard to read and understand.

⭐Any ap statistics review book is ten times more helpful than this.

⭐Easy to understand examples

⭐Fast shipping. Great book!

⭐Exactly what I needed. Great condition.

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