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Statistics in the 21st Century (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) Paperback – July 9, 2001

ISBN-13: 978-1584882725 ISBN-10: 1584882727 Edition: 1st

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Editorial Reviews

Review

This impressive volume is highly recommended for all statisticians as well as anybody who is interested in applying statistics in any science.
- Perceptual and Motor Skills, December 2001

Even though statistics is used in different disciplines in different contexts, this volume reveals an underlying cohesiveness of the field. With the growth of computer power and storage, researchers are analyzing large and complex data sets, leading to the need for new methods of model selection. Material is presented clearly and informatively. Extensive author and subject indexes. A valuable addition to academic libraries.
--CHOICE Magazine, May 2002
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Product Details

  • Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability (Book 93)
  • Paperback: 576 pages
  • Publisher: Chapman and Hall/CRC; 1 edition (July 9, 2001)
  • Language: English
  • ISBN-10: 1584882727
  • ISBN-13: 978-1584882725
  • Product Dimensions: 1.2 x 6 x 9 inches
  • Shipping Weight: 1.7 pounds (View shipping rates and policies)
  • Average Customer Review: 4.5 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #3,072,239 in Books (See Top 100 in Books)

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10 of 11 people found the following review helpful By S. M Marson on January 21, 2002
Format: Paperback Verified Purchase
I purchased STATISTICS IN THE 21 CENTURY because of a recommendation from a statistics listserv for which I subscribe. I thought this monograph would help me with my undergraduate teaching duties. Well, it didn't. Thus, if that's your objective, don't buy it.
If you're interested in seeking the board range of directions for applied statistics, this is your book. In my disappointment in realizing that this book is not what I thought it would be, I read it anyway. It is quite well written. For me, I thought I would only be interested in the social science section, but I found some of the Engineering and Physicial Science chapters helpful. All the chapters are quite insightful.
The only disappointing aspect of the monograph was the incomplete information on the autocorrelation debate for time series data. I wanted to know more.
Otherwise, it is a nice set of statistical readings.
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6 of 6 people found the following review helpful By Abstract Space on August 31, 2004
Format: Paperback
This book is a collection of survey papers published in JASA. It gives a good review of the breadth of statistical sciences, but certainly not in depth, and some articles are too heavy-handed toward reviewer's or collaborator's own work, but many serve the purpose as excellent entry points to given topics. The survey papers in various application areas are especially impressive, such as in physical and engineering sections, business and social science section, as concurred by one of the other reviewers. It is easier not to comment what this book has, since it tries to cover everything in statistics, and there are many good articles in it. It does not include some of the most exciting developments related to computer sciences, such as data mining and statistical learning. It fails to include chapters on recent developments on experimental design, multivariate analysis, and functional data analysis. Its treatment of time series analysis, is kind of strange, since there are at least three chapters on this subject with apparently little overlap. I do not agree with V Solo's assessment of The End of Time Series, though he tries to argue for the opposite. I find a typo in an otherwise excellent article by D. Vere-Jones (p.211). The Tangshan earthquake in China happened in 1976, a year most Chinese people remembered vividly even 30 years later. The main objections I have on the book, maybe because of the oversight of JASA, there is not a single article on the broad overview of statistics as a whole. Such a review could have been given by Brad Efron (who did write one on the bootstrap), David Cox (who did not contribute here) or even C.R. Rao, or E.L. Lehmann.Read more ›
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Statistics in the 21st Century (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
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