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.
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34 of 34 people found the following review helpful:
5.0 out of 5 stars
a great book,
By
This review is from: Sampling Techniques, 3rd Edition (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.
29 of 29 people found the following review helpful:
5.0 out of 5 stars
A classic and the bible of sampling techiques,
By A Customer
This review is from: Sampling Techniques, 3rd Edition (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.
1 of 7 people found the following review helpful:
5.0 out of 5 stars
Good condition, good book.,
By Meng chen (Seattle, USA) - See all my reviews
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This review is from: Sampling Techniques, 3rd Edition (Paperback)
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 ~
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Inside This Book
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First Sentence:
Our knowledge, our attitudes, and our actions are based to a very large extent on samples. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
combined ratio estimate, total response variance, simple response variance, unbiased sample estimate, relative net precisions, unbiased sample estimator, jth domain, proportional stratification, fpc terms, interpenetrating subsamples, infinite superpopulation, percent underestimation, small natural populations, compromise allocation, estimated population total, sample survey theory, unequal probability sampling, simple random sample, ith call, stratum boundaries, ith unit, simple random sampling, double sampling, proportional allocation, mean per unit Key Phrases - Capitalized Phrases (CAPs): (learn more)
United States, Census Bureau, Des Raj, Monte Carlo, Current Population Survey, North Carolina, Units Chosen, Size Class New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Our knowledge, our attitudes, and our actions are based to a very large extent on samples. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
combined ratio estimate, total response variance, simple response variance, unbiased sample estimate, relative net precisions, unbiased sample estimator, jth domain, proportional stratification, fpc terms, interpenetrating subsamples, infinite superpopulation, percent underestimation, small natural populations, compromise allocation, estimated population total, sample survey theory, unequal probability sampling, simple random sample, ith call, stratum boundaries, ith unit, simple random sampling, double sampling, proportional allocation, mean per unit Key Phrases - Capitalized Phrases (CAPs): (learn more)
United States, Census Bureau, Des Raj, Monte Carlo, Current Population Survey, North Carolina, Units Chosen, Size Class New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 100
books:
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100
books
cite this book:
See all 100 books citing this book
- Sample Survey Methods and Theory, Theory (Wiley Series in Probability and Statistics) (Volume 2) by Morris H. Hansen in Front Matter, and Back Matter
- New Developments in Survey Sampling by Norman L. Johnson in Back Matter (1), and Back Matter (2)
- Linear Regression Analysis (Wiley Series in Probability and Statistics) by George A. F. Seber in Front Matter, and Back Matter
- The Algebra of Random Variables (Probability & Mathematical Statistics) by Melvin D. Springer in Back Matter
- Mathematical Statistics by Steven F. Arnold in Front Matter
See all 100 books this book cites
- Sample Design in Business Research (Wiley Classics Library) by W. Edwards Deming on 11 pages
- Design and Inference in Finite Population Sampling (Wiley Series in Survey Methodology) by B.K. Sinha on 9 pages
- Small Area Estimation by J. N. K. Rao on 4 pages
- Multilevel Modelling of Health Statistics (Wiley Series in Probability and Statistics - Applied Probability and Statistics Section) by A. H. Leyland in Back Matter (1), and Back Matter (2)
- Advanced Calculus with Applications in Statistics (Wiley Series in Probability and Statistics) by André I. Khuri on page 315, and Back Matter
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