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Applied Nonparametric Statistical Methods, Third Edition (Chapman & Hall/CRC Texts in Statistical Science)
 
 
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Applied Nonparametric Statistical Methods, Third Edition (Chapman & Hall/CRC Texts in Statistical Science) [Paperback]

Peter Sprent (Author), Nigel C. Smeeton (Author)
3.0 out of 5 stars  See all reviews (2 customer reviews)


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Book Description

1584881453 978-1584881452 September 7, 2000 3
This new edition follows the basic easy-to-digest pattern that was so well received by users of the earlier editions. The authors substantially update and expand Applied Nonparametric Statistical Methods to reflect changing attitudes towards applied statistics, new developments, and the impact of more widely available and better statistical software.

The book takes into account computing developments since the publication of the popular Second Edition, rearranging the material in a more logical order, and introducing new topics. It emphasizes better use of significance tests and focuses greater attention on medical and dental applications. Applied Nonparametric Statistical Methods: Third Edition explains the rationale of procedures with a minimum of mathematical detail, making it not only an outstanding textbook, but also an up-to-date reference for professionals who do their own statistical analyses.
New in the Third Edition:

  • Expanded coverage of topics - such as ethical considerations and calculation of power and of sample sizes needed
  • Refers to a wide variety of statistical packages - such as StatXact, Minitab, Testimate, S-plus, Stata, and SPSS
  • Includes sections on the analysis of angular data, the use of capture-recapture methods, the measurement of agreement between observers, runs tests, and regression diagnostics.

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    Product Details

    • Paperback: 480 pages
    • Publisher: Chapman and Hall/CRC; 3 edition (September 7, 2000)
    • Language: English
    • ISBN-10: 1584881453
    • ISBN-13: 978-1584881452
    • Product Dimensions: 9.3 x 6.2 x 1 inches
    • Shipping Weight: 4 pounds
    • Average Customer Review: 3.0 out of 5 stars  See all reviews (2 customer reviews)
    • Amazon Best Sellers Rank: #1,954,311 in Books (See Top 100 in Books)

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    Customer Reviews

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    5 of 7 people found the following review helpful:
    4.0 out of 5 stars Very useful, February 4, 2004
    Nearly all of traditional statistical tests assume that data points are distributed along the "normal," Gaussian bell curve. The assumption may be explicit, may be hidden inside a chi-squared phrase, or may stand silently behind discussions of mean and variance. If your data don't match that assumption, stated or not, the tests give wrong answers.

    Nonparametric stats work without that assumption. In fact, most work without !any! assumptions about the distributions of data. These are very robust techniques, and this book demonstrates a number of simple and effective ones. The author describes everything you need to know about a number of tests: when each applies, how to perform it, and how to interpret results. It's a very useful guide for people who need high-quality answers from low-quality data.

    Best, many of these procedures are simple enough to apply routinely to almost any data set. I find them helpful for quick checks before applying more detailed kinds of parametric analysis. If your data fail the loose bounds of non-parametric testing, you know that fussier, more high-strung tests have no hope of reasonable answers.

    There are no theorems here, and very little development of the underlying principles. That's good for someone who just wants the answers. On the other hand, it's a real weakness if you need to customize analysis for an unusual problem. You just won't find the fundamentals you need for sound improvisation.

    //wiredweird

    (This review describes the first edition.)
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    1 of 2 people found the following review helpful:
    2.0 out of 5 stars This book = Waste of money!, August 25, 2006
    This review is from: Applied Nonparametric Statistical Methods, Third Edition (Chapman & Hall/CRC Texts in Statistical Science) (Paperback)
    This lame excuse for a textbook was required for my class, but never used. Everyone sold theirs back at the bookstore after the semester. This textbook lacks important items such as an appendix and a lack of detailed analysis of problems. Often, it felt that the book would give questions that it did not explain how to answer in the examples. Not to mention, the definitions are not precise at all. In fact, I could not find a solid definition of "nonparametric" in this book. The only reason why I still have this book is because the bookstore would only give me $2 for it. Looking back now after I got my math degree, I am forced to tap the financial account for a nicer, more descriptive book that is more user-friendly for quicker references. Don't buy this unless it is required for a class. In which case, drop the class.
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    Inside This Book (learn more)
    First Sentence:
    One need know only a little statistics to make sensible use of simple nonparametric methods. Read the first page
    Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
    combined sample median, true bootstrap standard error, exact permutation distribution, expected normal scores, second sample values, heavy tying, exact permutation test, centrality tests, pairwise slopes, contingency table format, squared ranks, factorial treatment structures, rogue observations, median shift, classic least squares, general statistical packages, cent confidence interval, monotonic association, median test, common odds ratio, cent significance level, cent interval, monotonic regression, asymptotic test, fixed marginal totals
    Key Phrases - Capitalized Phrases (CAPs): (learn more)
    Monte Carlo, Alive Dead, Long Short Planted, The Moses
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    Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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