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Sampling
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4 of 4 people found the following review helpful
on March 2, 2012
It is a very good book, but not stand-alone. I recently taught with this textbook for a graduate research design course for the social sciences. I felt that it's introduction to the basics of sampling theory and randomization inference were overly concise to the point of obscuring important points for students coming to this material for the first time. So, I had to use Cochran's Sampling Techniques for that material. Cochran's treatment remains the most lucid. Then, with Cochran's foundation the latter portions of Thompson's book were a great read, especially his extended analysis of designs for rare and hidden populations -- something of particular interest in social science.
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1 of 1 people found the following review helpful
on October 19, 2012
I'm a graduate student studying quantitative fisheries science and I have found this book to be very helpful for my research and for helping build a conceptual knowledge of sampling. The code is easy to follow and the book includes chapters on multistage designs and detection probability, which are not found in similar introductory books.
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on September 11, 2014
I'm a grad student in computer science. I love this book. It's concise, consistent, and accessible. It really feels like the author put a solid effort into every single section. The chapter and overal structure is also logical and easy to follow. I'm readying this book cover to cover.
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on March 30, 2014
Great book -- very user friendly, has exercises with some answers in the back. I wouldl recommend to anyone learning sampling.
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on September 8, 2014
The book is pretty clear on information and very easy to follow.
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0 of 1 people found the following review helpful
on March 31, 2013
Great reference and easy to understand. Must have for any stats major! Good R examples with each chapter. Highly recommend!
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