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Statistical Intervals: A Guide for Practitioners Hardcover – August 1, 1991

ISBN-13: 978-0471887690 ISBN-10: 0471887692 Edition: 1st

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Product Details

  • Hardcover: 392 pages
  • Publisher: Wiley-Interscience; 1 edition (August 1991)
  • Language: English
  • ISBN-10: 0471887692
  • ISBN-13: 978-0471887690
  • Product Dimensions: 9.4 x 6.3 x 1.2 inches
  • Shipping Weight: 1.6 pounds (View shipping rates and policies)
  • Average Customer Review: 4.8 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Best Sellers Rank: #1,444,593 in Books (See Top 100 in Books)

Editorial Reviews

From the Publisher

Presents a detailed exposition of statistical intervals and emphasizes applications in industry. The discussion differentiates at an elementary level among different kinds of statistical intervals and gives instruction with numerous examples and simple math on how to construct such intervals from sample data. This includes confidence intervals to contain a population percentile, confidence intervals on probability of meeting specified threshold value, and prediction intervals to include observation in a future sample. Also has an appendix containing computer subroutines for nonparametric statistical intervals.

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35 of 35 people found the following review helpful By Michael R. Chernick on February 9, 2008
Format: Hardcover
Gerald Hahn has spent many years in industry working for the General Electric Company. He and Bill Meeker have written this very unique book that provides an up-to-date treatment of statistical methods for interval estimation.
In most introductory courses students are taught about statistical confidence intervals. However, there are many other types of statistical intervals that are appropriate for particular applications. Most students, particularly engineering students, only learn about confidence intervals and hence they apply them whenever they need a statistical interval. But often they are wrong because the problem really calls for a prediction interval or a tolerance interval. This circumstance is what motivated these authors to write this book.

The techniques are standard and are covered in other statistical texts. However, this is the only book with statistical intervals as its theme. It provides the methods and the context for using the various intervals and more importantly makes the distinctions that help the students overcome possible confusion. This is an excellent practical reference. Its many tables make it a great reference book. On many occasions I have needed Gaussian tolerance intervals or sometimes nonparametric tolerance intervals. I go to the tables in this book first. It also includes some discussion of bootstrap confidence intervals and other asymptotic approaches in Chapter 12 where Bayesian intervals are also introduced. Chapter 13 concentrates on 9 case studies and the appropriate intervals to be used in each case. Other practical issues such as determining the sample size requirements for precise statistical intervals are also discussed in various chapters.
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10 of 11 people found the following review helpful By William A. Huber on June 9, 2004
Format: Hardcover
"Statistical Intervals" has for years been a valuable tool in my professional work, which focuses on environmental statistics. Hahn & Meeker's discussion of how to interpret various intervals--confidence, tolerance, prediction--first opened my eyes to the ubiquity and utility of these techniques. I since have found it worthwhile to have a working knowledge of them all; that would scarcely have been possible without having such a handy reference.

The tables are getting dog-eared and gray from use, especially A-12 (factors for computing Normal distribution one-sided tolerance bounds), in testimony to the frequency I refer to them. The book also contains extensive graphics for estimating intervals and for determining sample sizes: these typically obviate any need to refer to tables or do the computations. There are some neat formulas, clearly described, that one can easily implement in a spreadsheet. These all appear in other texts and journal articles, but having them all in one place, well organized, makes them particularly worthwhile.

This is, indeed, a reference: a statistical "cookbook" if you will (intended in a positive sense, not pejoratively!). This means you will find little theoretical justification for any of the material. For each technique expect to find a clear definition, lucid descriptions, discussions of how to use any supporting formulas, graphs, or tables, all followed by a clear worked example. Of course there's an extensive bibliography if your theoretical curiosity is piqued.

One common technique you will not find (although it is mentioned and references provided) is computing statistical intervals for linear regression analysis.
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5 of 5 people found the following review helpful By S. ohen on February 18, 2008
Format: Hardcover
A fantastic book! It was published just as I had finished collecting all the journal articles I could find on statistical intervals. (Years ago, Meeker told me that he and Gerry were thinking of writing a second edition, but apparently it didn't happen.) I did find an error: On p.131, expression 7.7, the first inequality is incorrect. I believe that it should read m/(y+1)>= (n|x)F... for the lower bound.

There is FREE software for calculating some of these intervals. See the index page [...]

My one disappointment about the book is that it omits some equations/algorithms for estimating some statistical intervals, offering instead graphs and tables. In these cases, if one wishes to extend or modify a result, one must either find the original source article or derive the missing equations/algorithms oneself, using the tables and graphs to check one's work.

Finally, note that for many intervals, use of results based on an assumption of normality (or other underlying distribution) will yield poorer estimates (less tight statistical bound estimates) than will the use of distribution-free methods. This is true even if one's data appears to be normally distributed and tests for non-normality do not reject the normality assumption.

-Stephen B. Cohen, Ph.D.
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0 of 1 people found the following review helpful By Ariel on March 12, 2013
Format: Hardcover Verified Purchase
The content of this book is excellent in the field of INTERVALS. The only thing I do not like about this book,... as many others book of today is the BINDING FORMAT.
I like strong and durable books.
Many children's books have a STRONG BINDING FORMAT of folded pages forming mini books sewed and glued at back.
Why not apply this format to truly important books like this ones?
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