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Sampling Techniques, 3rd Edition Paperback – January 1, 1977

ISBN-13: 978-0471162407 ISBN-10: 047116240X Edition: 3rd

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Product Details

  • Paperback: 428 pages
  • Publisher: John Wiley & Sons; 3rd edition (January 1, 1977)
  • Language: English
  • ISBN-10: 047116240X
  • ISBN-13: 978-0471162407
  • Product Dimensions: 9.4 x 5.9 x 0.8 inches
  • Shipping Weight: 1.7 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: #746,383 in Books (See Top 100 in Books)

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40 of 40 people found the following review helpful By Michael R. Chernick on December 30, 2007
Format: Paperback
I have to agree that this book in all three editions was a classic text on the theory of finite population sampling and it is so readily referenced in the research literature on survey sampling that it deserves to be called a classic and should be added to Wiley's series of classic books in statistics. It also may be appropriate to call it the bible on survey sampling. But the reader should note that it is not the only good book on survey sampling. Leslie Kish's book which I also reviewed today and compared to Cochran's is a very applied text with many social science applications and may be more accessible to the non-matematically inclined reader. In reviewing Kish's book I make some comments comparing it to this book by Cochran.
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32 of 32 people found the following review helpful By A Customer on July 1, 1999
Format: Paperback
As a marine ecologist and a person with a non-statistical background this book was hard going but is worth the effort 10 times over. I have been using this book for more than 10 years now and finally decided to buy a copy for myself. I would recommend this book to anyone that has to design sampling programs for field surveys in ecology. Beware however - it is not for the faint hearted or those who do not have a bent towards statistics or numerical analyses.
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2 of 2 people found the following review helpful By Roger Green on March 30, 2012
Format: Paperback
Yes this is the classic - first edition 1953. It is full of wisdom that is oft-ignored. For example that alpha and beta (Type 1 and Type 2 error probabilities = chances of false positives and false negatives respectively) should be set according to the real-world costs of making those errors. In other words, set alpha small if the cost of a false positive is high, but set it larger and set beta small if it's the cost of a false negative that's high in the real world. But we still go around mindlessly setting alpha at 0.05 because R.A. Fisher had that column of t-values worked out (by hand in those days). I recently reviewed a paper for an ecological journal which declared that the author had discovered a marvelous new approach to environmental study design. Turned out he had discovered Cochran's 1953 book!

My other complaint is that the price is ridiculous, both from the publisher (which happens to be my publisher) and from 3rd party sellers. Classic books shouldn't mindlessly go up in price every year by X percent. Anybody who knows how compound interest works will know that a very small X will result in a very expensive book after 2012-1953=59 years. There should be a cheap re-issue of Cochran's classic. Please!
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2 of 2 people found the following review helpful By Cyrus Samii on March 2, 2012
Format: Paperback Verified Purchase
If you work in sampling, survey design, even experimental design, this book remains essential. Don't think that because this book is decades old that its material is any less relevant. Pretty much every page contains crucial insights (though the few pages at the beginning on using random number tables is a bit quaint). Cochran's development of randomization-based sampling theory is simply beautiful. The only thing I regret about the book is that its treatment of large sample/asymptotic theory is too light. But then if it had that, there might not be any reason for anyone else to write in statistics anymore, so we can thank Cochran for his generous omission.
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