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This classic, market leading text provides a rigorous introduction to basic probability theory and statistical inference for students with a background in calculus. The new edition features many new exercises and applications based on real data.
- Sales Rank: #1921413 in Books
- Published on: 1997-12-31
- Original language: English
- Number of items: 1
- Dimensions: 9.75" h x 7.75" w x 1.25" l, 2.91 pounds
- Binding: Hardcover
- 665 pages
From the Back Cover
This classic book provides a rigorous introduction to basic probability theory and statistical inference that is well motivated by interesting, relevant applications. The new edition features many new, real-data based exercises and examples, an increased emphasis on the analysis of statistical output and greater use of graphical techniques and statistical methods in quality improvement.
Most helpful customer reviews
13 of 16 people found the following review helpful.
Hey, where's the errata!
By A Customer
This is a pretty good book, very straight forward with examples that are related to the exercises. Great way to learn this stuff! But, there are many mistakes in this book. There is no errata available, even though this is the sixth edition! It would be helpful to have an errata, especially if you're doing self-study.
12 of 15 people found the following review helpful.
Useless as text or reference
By A Customer
I am taking a graduate course in Statistics. I cannot imagine what possessed the instructor to select this as a text. First formula error on page 5!, very disappointing! Errors in examples that instructor cannot recognize or defend. Is there a list of mistakes that I can purchase or a Solution manual?
5 of 8 people found the following review helpful.
Very good but not for mathematicians
By A Customer
The explanations are very good. Unfortunately, the problems are very easy, not suitable for students majoring in mathematics. If you want to use it for beginners in Statistics, who do not have to learn stochastic processes, then I strongly recommend this text.
However, this book may serve as a dictionary for every statistician because the concepts are well explained and is easy to read.
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