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Mathematical Methods in Sample Surveys (Series on Multivariate Analysis, Vol 3) [Hardcover]

By Howard G. Tucker (Author)
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Item description for Mathematical Methods in Sample Surveys (Series on Multivariate Analysis, Vol 3) by Howard G. Tucker...

This book is about both the mathematics of sample surveys and about sample surveys. The mathematics is both elementary and rigorous. It is suitable for a one year junior-senior level course for mathematics and statistics majors as well as for students in the social sciences who are not handicapped by a fear of proofs in mathematics. It requires no previous knowledge of statistics, and it could actually serve as an introduction to statistics. A sizeable part of the book covers the discrete probability needed for the sampling methods covered. Topics then covered are: simple random sampling, sampling with unequal probabilities, linear relationships, stratified sampling, cluster sampling and two-stage sampling.

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Item Specifications...

Studio: World Scientific Publishing Company
Pages   206
Est. Packaging Dimensions:   Length: 9.98" Width: 5.16" Height: 0.65"
Weight:   0.93 lbs.
Binding  Hardcover
Publisher   World Scientific Publishing Company
ISBN  9810226179  
ISBN13  9789810226176  

Availability  0 units.

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Product Categories

1Books > Subjects > Professional & Technical > Professional Science > Mathematics > Applied > Statistics
2Books > Subjects > Science > General
3Books > Subjects > Science > Mathematics > Applied > Probability & Statistics
4Books > Subjects > Science > Mathematics > General

Reviews - What do customers think about Mathematical Methods in Sample Surveys (Series on Multivariate Analysis, Vol 3)?

Spectacular book / Amazing Accomplishment  Aug 3, 2005
This is one of the most amazing books I have ever read!

The author, Howard Tucker, provides a concise, technical explanation of the math that underlies survey sampling. He starts with basic notions of probability. And he clearly shows how these basic ideas provide the foundation for advanced survey sampling - simple random sampling, stratified sampling, cluster sampling, and more.

Here's the amazing part. He provides a very rigorous treatment of complicated mathematical ideas; yet, he explains everything using only arithmetic (addition, subtraction, multiplication, division) plus some basic algebra. There is no calculus or other advanced math.

If you want to understand the math behind survey sampling, you will not be disappointed. This book really delivers.


So that I don't mislead anyone, I probably need to add this warning. Even without calculus, the material is demanding. It is, after all, math. If you are intimidated by mathematical proofs, this book is not for you.

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