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

Grant, Peter, Dorofeev, Sergey

ISBN 10: 0521674654 / ISBN 13: 9780521674652

Edité par Cambridge University Press, 2006

A propos de cet article

Unread. There is some minor wear to the cover. In stock ready to dispatch from the UK.

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Détails bibliographiques

• Titre: Statistics for Real-Life Sample Surveys: Non-Simple-Random Samples and Weighted Data
• Éditeur: Cambridge University Press
• Date de parution: 2006
• Langue: anglais
• ISBN à 10 chiffres: 0521674654
• ISBN à 13 chiffres: 9780521674652
• Reliure: Paperback
• État de l'article: Very Good

A propos de ce titre

Synopsis

Introduces challenges of less-than-perfect samples, giving background knowledge, practical guidance and realistic and implementable solutions.

Présentation de l'éditeur

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.