发帖
雷达卡
清晰PDF版本下载：
1977_William G. Cochran_Sampling Techniques, Third Edition (Wiley).pdf
(15.47 MB, 需要: 50 个论坛币)
Book Description[size=0.86em]Publication Date: January 1, 1977 | ISBN-10: 047116240X | ISBN-13: 978-0471162407 | Edition: 3rd
Clearly demonstrates a wide range of sampling methods now in use by governments, in business, market and operations research, social science, medicine, public health, agriculture, and accounting. Gives proofs of all the theoretical results used in modern sampling practice. New topics in this edition include the approximate methods developed for the problem of attaching standard errors or confidence limits to nonlinear estimates made from the results of surveys with complex plans
1 of 1 people found the following review helpful
5.0 out of 5 stars Under-used and over-priced, March 30, 2012
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!
1 of 1 people found the following review helpful
5.0 out of 5 stars Simply Unmatched, A Must, March 2, 2012
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.
1 of 7 people found the following review helpful
5.0 out of 5 stars Good condition, good book., October 12, 2009
This used book is in really good condition, so the seller has really good credit. Also the book itself is bible of its area. Generally excellent ~
37 of 37 people found the following review helpful
5.0 out of 5 stars a great book, December 30, 2007
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.
31 of 31 people found the following review helpful
5.0 out of 5 stars A classic and the bible of sampling techiques, July 1, 1999
By A Customer
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
京公网安备 11010802022788号
