Statistics For Real-Life Sample Surveys - Dorofeev Sergey; Grant Peter | Libro Cambridge University Press 07/2006 - HOEPLI.it


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dorofeev sergey; grant peter - statistics for real-life sample surveys

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

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Dettagli

Genere:Libro
Lingua: Inglese
Pubblicazione: 07/2006





Note Editore

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.




Sommario

Preface; 1. Sampling methods; 2. Weighting; 3. Statistical effects; 4. Significance testing; 5. Measuring relationships; Appendices; Bibliography; Index.




Prefazione

Samples used in social and commercial surveys are usually less random than many people using them realise, or have been taught to analyse. This book, for practising researchers, introduces the challenges posed by less-than-perfect samples, giving background knowledge, practical guidance and, above all, realistic and implementable solutions.




Trama

What they didn?t tell you in your stats lectures ? Samples used in social and commercial surveys are usually less random than many people using them realise, or have been taught to analyse. 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 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. Extended data examples show the techniques at work.







Altre Informazioni

ISBN:

9780521674652

Condizione: Nuovo
Dimensioni: 247 x 18 x 174 mm Ø 560 gr
Formato: Brossura
Illustration Notes:10 b/w illus. 20 tables
Pagine Arabe: 276






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