Statistical Decision Theory and Bayesian Analysis (Springer Series in Statistics) 2nd Edition

7 customer reviews
ISBN-13: 978-0387960982
ISBN-10: 0387960988
Why is ISBN important?
ISBN
This bar-code number lets you verify that you're getting exactly the right version or edition of a book. The 13-digit and 10-digit formats both work.
Scan an ISBN with your phone
Use the Amazon App to scan ISBNs and compare prices.
Sell yours for a Gift Card
We'll buy it for $32.82
Learn More
Trade in now
Have one to sell? Sell on Amazon
Rent
$100.03
Buy new
$119.04
Amazon Price New from Used from
Hardcover, March 25, 1993
"Please retry"
$119.04
$89.31 $46.30
Unknown Binding
"Please retry"
$710.00
More Buying Choices
41 New from $89.31 29 Used from $46.30
Free Two-Day Shipping for College Students with Amazon Student Free%20Two-Day%20Shipping%20for%20College%20Students%20with%20Amazon%20Student


InterDesign Brand Store Awareness Textbooks
$119.04 FREE Shipping. Only 18 left in stock (more on the way). Ships from and sold by Amazon.com. Gift-wrap available.

Frequently Bought Together

Statistical Decision Theory and Bayesian Analysis (Springer Series in Statistics) + Optimal Statistical Decisions
Price for both: $241.41

Buy the selected items together

Editorial Reviews

Review

"The outstanding strengths of the book are its topic coverage, references, exposition, examples and problem sets... This book is an excellent addition to any mathematical statistician's library."
(Bulletin of the Am. Mathematical Soc.)

About the Author

James O. Berger teaches at the Institute of Statistics and Decision Sciences, Duke University.
NO_CONTENT_IN_FEATURE


Best Books of the Month
Best Books of the Month
Want to know our Editors' picks for the best books of the month? Browse Best Books of the Month, featuring our favorite new books in more than a dozen categories.

Product Details

  • Series: Springer Series in Statistics
  • Hardcover: 618 pages
  • Publisher: Springer; 2nd edition (March 25, 1993)
  • Language: English
  • ISBN-10: 0387960988
  • ISBN-13: 978-0387960982
  • Product Dimensions: 6.1 x 1.4 x 9.2 inches
  • Shipping Weight: 2.4 pounds (View shipping rates and policies)
  • Average Customer Review: 4.9 out of 5 stars  See all reviews (7 customer reviews)
  • Amazon Best Sellers Rank: #198,058 in Books (See Top 100 in Books)

Customer Reviews

5 star
86%
4 star
14%
3 star
0%
2 star
0%
1 star
0%
See all 7 customer reviews
Share your thoughts with other customers

Most Helpful Customer Reviews

44 of 44 people found the following review helpful By Alexander C. Zorach on November 10, 2007
Format: Hardcover Verified Purchase
This book (which is becoming somewhat of a classic) is simply outstanding. The author's philosophical and mathematical reasoning is impeccable. This book is very deep and will not just teach you theory and techniques but will teach you how to think and how to approach and formulate problems, as well as how to interpret the results obtained by various methods and use them in a practical setting. This book is very practically oriented. The best thing about this book, however, is that it is so clearly written. Berger is an outstanding writer with the ability to communicate difficult concepts without watering them down.

This book covers decision theory and Bayesian statistics in much depth. While it is a high-level text oriented towards researchers and people with strong backgrounds, it is clear enough that someone learning this material for the first time would have little trouble with it. It provides ample review and clear exposition of key mathematical and statistical concepts such as sufficiency, convexity. Its exposition of invariance (with respect to groups of transformations) is both the clearest and most rigorous I have found in any statistics text. In my opinion, there are no weak or unclear sections in the book, and the difficulty level does not rise disproportionately in later chapters the way it does in many books on similar subjects.

This book is rich with examples, and the examples are mostly of a practical nature, in contrast to the "toy" mathematical examples that dominate many books written at this advanced level. The exercises are diverse and extensive, and have a good gradient of difficult level for building both technical skill and depth of understanding. The exercises are more carefully worded and constructed than is typical for books at this level.
Read more ›
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
43 of 45 people found the following review helpful By supercutepig on August 30, 2005
Format: Hardcover
[1] It is a classical book written by an excellent mathematician, not a worker of statistics!

[2] Its mathematics is precise and fascinating.

[3] The philosophy of Bayesian statistics is well discussed.

[4] It's worthy to read it many times.

[5] At the time of its publication, the revolutionary computational statistics was still in gestation. So, it is unfair to criticize its lack of numerical simulation, etc. As a comlement, some pragmatistic books are recommended, such as J. Liu's book on MCMC methods, Tanner's Tools for Statistical Inference, etc.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
31 of 33 people found the following review helpful By Michael R. Chernick on February 22, 2008
Format: Hardcover
Jim Berger is well known for his work in decision theory, Bayesian methods amd his texts on these subjects. This one is certainly one of the best to cover decision theory and give a rigorous treatment to Bayesian methods, particularly in the context of decision theory.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
24 of 27 people found the following review helpful By Gongfu Zhou on June 14, 2001
Format: Hardcover
The professor used this book in the math stat course I took 2 years ago. I did not like the book at first, it looks too long to be covered. but it turned to be very easy to follow (You still need to think, but the author, being a hero in this field, made a very clear presentation to the audience). As long as you invest some time and brain, you can get a lot from this book. The problems are very good and instructional too.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again

Set up an Amazon Giveaway

Amazon Giveaway allows you to run promotional giveaways in order to create buzz, reward your audience, and attract new followers and customers. Learn more
Statistical Decision Theory and Bayesian Analysis (Springer Series in Statistics)
This item: Statistical Decision Theory and Bayesian Analysis (Springer Series in Statistics)
Price: $119.04
Ships from and sold by Amazon.com

Want to discover more products? Check out this page to see more: probability