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Sampling (Wiley Series in Probability and Statistics), by Steven K. Thompson
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Covers both classical and modern sampling design and estimation methods, focusing on methods for populations that are difficult to sample--elusive, rare, clustered or hard to detect. Divided into six parts, it covers basic sampling from simple random to unequal probability sampling; treats the use of auxiliary data with ratio and regression estimation and looks at the ideas of sufficient data and of model and design in practical sampling; discusses major useful designs, including stratified, cluster, systematic, multi-stage, double and network sampling; examines detectability methods for elusive populations; explains spatial sampling; and introduces adaptive sampling designs. Each chapter contains exercises with answers provided in the appendix.
- Sales Rank: #2589750 in Books
- Published on: 1992-10
- Original language: English
- Number of items: 1
- Dimensions: 9.43" h x .86" w x 6.40" l,
- Binding: Hardcover
- 360 pages
From the Publisher
Covers both classical and modern sampling design and estimation methods, focusing on methods for populations that are difficult to sample--elusive, rare, clustered or hard to detect. Divided into six parts, it covers basic sampling from simple random to unequal probability sampling; treats the use of auxiliary data with ratio and regression estimation and looks at the ideas of sufficient data and of model and design in practical sampling; discusses major useful designs, including stratified, cluster, systematic, multi-stage, double and network sampling; examines detectability methods for elusive populations; explains spatial sampling; and introduces adaptive sampling designs. Each chapter contains exercises with answers provided in the appendix.
Most helpful customer reviews
29 of 30 people found the following review helpful.
Thompson treats the details of sampling theory best
By Scott Harlan
In the last 5 years or so, as a practioner, I have examined and used, or tried to use, 5 or 6 current texts on modern Sampling theory and practice. Steve Thompson's has been the most consistently useful. He offers more than the conventional wisdom, more than the standard technique. He describes alternative and special methods. when they are best used and how, complete with pros and cons. His generally clear explanations go beyond the usual mathematical formalism to the practical aspects.
For applied folks such as myself, this is really critical. You do not need to be a professional mathematician to make good use of this volume.
In particular, I have made good use of the Thompson's approach to double sampling technique in my own work sampling from the Net, a field loaded with methodological pitfalls.
If you are seriously concerned with generating valid samples in practical applications, Thompson will become a trusted friend.
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