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Statistics for Real-Life Sample Surveys: Non-Simple-Random Samples and Weighted Data PDF

278 Pages·2006·1.825 MB·English
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by Sergey Dorofeev, Peter Grant| 2006| 278 pages| 1.825| English

About Statistics for Real-Life Sample Surveys: Non-Simple-Random Samples and Weighted Data

Samples used in social and commercial surveys, especially of the general population, are usually less random (often by design) than many people using them realise. Unless it is understood, this 'non-randomness' can compromise the conclusions drawn from the data. This book introduces the challenges posed by less-than-perfect samples, giving background knowledge and practical guidance for those who have to deal with them. It explains why samples are, and sometimes should be, non-random in the first place; how to assess the degree of non-randomness; when correction by weighting is appropriate and how to apply it; and how the statistical treatment of these samples must be adapted. Extended data examples show the techniques at work. This is a book for practising researchers. It is a reference for the methods and formulae needed to deal with commonly encountered situations and, above all, a source of realistic and implementable solutions.

Detailed Information

Author:Sergey Dorofeev, Peter Grant
Publication Year:2006
ISBN:9780511226311
Pages:278
Language:English
File Size:1.825
Format:PDF
Price:FREE
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