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Measure Theory and Probability Theory (Springer Texts in Statistics) Hardcover – July 27, 2006

4.4 out of 5 stars 7 customer reviews

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Product Details

  • Series: Springer Texts in Statistics
  • Hardcover: 619 pages
  • Publisher: Springer; 2006 edition (July 27, 2006)
  • Language: English
  • ISBN-10: 038732903X
  • ISBN-13: 978-0387329031
  • Product Dimensions: 6.1 x 1.4 x 9.2 inches
  • Shipping Weight: 2.2 pounds (View shipping rates and policies)
  • Average Customer Review: 4.4 out of 5 stars  See all reviews (7 customer reviews)
  • Amazon Best Sellers Rank: #1,282,790 in Books (See Top 100 in Books)

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Customer Reviews

Top Customer Reviews

Format: Hardcover
I've completed courses on real analysis and mathematical writing (i.e. strategies for mathematical proofs). I have a solid math background and I am reading this book for self study. Still, I recommend reading parts of the Appendices before starting chapter 1. As of today, I am on chapter 3 and I'm planning to study through chapter 10. For me, the key to getting through the material is to keep it interesting! Don't feel you have to learn everything in every chapter. At first, try to focus on the main objectives of each chapter. As time goes on, you can go back to previous chapters and learn the material as it becomes relevant; that's what I'm doing and its working so far. The author, Krishna Athreya, makes it possible to do just that and, combined with the fact that there's a high level of detail to proofs and examples, I would strongly recommend this book.
Summary points:
1. You might want to read a book on real analysis before reading this one, (like Advanced Calculus by Avner Friedman)
2. Be a smart reader; (i.e., don't try to learn everything right away,)
3. Amazing appendices that include exercises, (like a reference book on real analysis)
4. Detailed proofs and lots of examples
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Format: Hardcover Verified Purchase
This text is used for a course I am currently taking, and reflects a 2-3 semester sequence at the school where it is used. As a result each chapter is full of many questions of varying difficulty that help students learn, and each chapter contains a variety of examples that break up the traditional theorem-proof structure of some of the other measure and probability theory texts I've looked at.

My main gripe is that for a few people in my course the binding came off along the interior edge.
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Format: Hardcover Verified Purchase
Very well written. The intuition about measure and integration is noted at first. I'm not a mathematician and this book makes a good job as a introduction to the field and probability theory. With respect to the quality of the material I have a complaint. Poor quality and not worth $81.25.
Anyway, I recomend this book except for material that is very poor.
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