Sampling
Sampling provides an up-to-date treatment of both classical and modern sampling design and estimation methods, along with sampling methods for rare, clustered, and hard-to-detect populations. This Third Edition retains the general organization of the two previous editions, but incorporates extensive...
Main Author: | |
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Format: | eBook |
Language: | English |
Published: |
Hoboken, NJ
Wiley
2012
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Edition: | Third edition |
Series: | Wiley series in probability and statistics
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Subjects: | |
Online Access: | |
Collection: | Wiley Online Books - Collection details see MPG.ReNa |
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245 | 0 | 0 | |a Sampling |h Elektronische Ressource |c Steven K. Thompson, Simon Fraser University |
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650 | 4 | |a Sampling (Statistics) | |
520 | |a Sampling provides an up-to-date treatment of both classical and modern sampling design and estimation methods, along with sampling methods for rare, clustered, and hard-to-detect populations. This Third Edition retains the general organization of the two previous editions, but incorporates extensive new material—sections, exercises, and examples—throughout. Inside, readers will find all-new approaches to explain the various techniques in the book; new figures to assist in better visualizing and comprehending underlying concepts such as the different sampling strategies; computing notes for sample selection, calculation of estimates, and simulations; and more. Organized into six sections, the book covers basic sampling, from simple random to unequal probability sampling; the use of auxiliary data with ratio and regression estimation; sufficient data, model, and design in practical sampling; useful designs such as stratified, cluster and systematic, multistage, double and network sampling; detectability methods for elusive populations; spatial sampling; and adaptive sampling designs. |