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

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  • Category: Books (Mathematics)
  • Author:  Dorofeev, Sergey, Grant, Peter
  • Author:  Dorofeev, Sergey, Grant, Peter
  • ISBN-10:  0521674654
  • ISBN-10:  0521674654
  • ISBN-13:  9780521674652
  • ISBN-13:  9780521674652
  • Publisher:  Cambridge University Press
  • Publisher:  Cambridge University Press
  • Pages:  276
  • Pages:  276
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-May-2006
  • Pub Date:  01-May-2006
  • SKU:  0521674654-11-MPOD
  • SKU:  0521674654-11-MPOD
  • Item ID: 106564341
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Oct 11 to Oct 13
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.
Introduces challenges of less-than-perfect samples, giving background knowledge, practical guidance and realistic and implementable solutions.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.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.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.Preface; 1. Sampling methods; 2. Weighting; 3. Statistical effects; 4. Significance testing; 5. Measuring relationships; Appendices; Bibliography; Index. I think the authors have succeeded in their aims: this book will be valuablCk
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