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

Dorofeev, Sergey

 
9780521674652: Statistics for Real-Life Sample Surveys: Non-Simple-Random Samples And Weighted Data

Sinossi

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

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Recensione

"I think the authors have succeeded in their aims: this book will be valuable for analysts who are not survey sampling professionals or who have not been formally trained in the technical background, but who nevertheless find themselves having to analyze survey data."
D.J. Hand, Imperial College of Science, Technology and Medicine, ISI Short Book Reviews

"[The authors'] techniques provide practical, realistic and implementable solutions for many real situations where traditional frames or sampling designs are not available.... I believe that the book will interest private and official survey agencies and theoretical and applied statisticians, as well as teachers and students of statistics."
Mariano Ruiz Espejo, Universidad Nacional de Educacion a Distancia, Madrid

"... The book is accurate and well written."
M.G.M. Khan, The American Statistician

Descrizione del libro

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Altre edizioni note dello stesso titolo

9780521858038: Statistics for Real-Life Sample Surveys: Non-Simple-Random Samples and Weighted Data

Edizione in evidenza

ISBN 10:  0521858038 ISBN 13:  9780521858038
Casa editrice: Cambridge University Press, 2006
Rilegato