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Model Assisted Survey Sampling (Springer Series in Statistics) - Softcover

 
9780387406206: Model Assisted Survey Sampling (Springer Series in Statistics)

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Now available in paperback, this book provides a comprehensive account of survey sampling theory and methodology suitable for students and researchers across a variety of disciplines. It shows how statistical modeling is a vital component of the sampling process and in the choice of estimation technique. The first textbook that systematically extends traditional sampling theory with the aid of a modern model assisted outlook. Covers classical topics as well as areas where significant new developments have taken place.

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Críticas

"I would recommend that this book be in the office of every survey methodologist."
(Journal of Official Statistics)

Reseña del editor

Now available in paperback, this book provides a comprehensive account of survey sampling theory and methodology suitable for students and researchers across a variety of disciplines. It shows how statistical modeling is a vital component of the sampling process and in the choice of estimation technique. The first textbook that systematically extends traditional sampling theory with the aid of a modern model assisted outlook. Covers classical topics as well as areas where significant new developments have taken place.

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  • VerlagSpringer
  • Erscheinungsdatum2013
  • ISBN 10 0387406204
  • ISBN 13 9780387406206
  • EinbandTapa blanda
  • SpracheEnglisch
  • Anzahl der Seiten712
  • Kontakt zum HerstellerNicht verfügbar

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9780387975283: Model Assisted Survey Sampling (Springer Series in Statistics)

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ISBN 10:  0387975284 ISBN 13:  9780387975283
Verlag: Springer Verlag, 2001
Hardcover

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Särndal, Carl-Erik; Swensson, Bengt; Wretman, Jan
Verlag: Springer, 2003
ISBN 10: 0387406204 ISBN 13: 9780387406206
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ISBN 10: 0387406204 ISBN 13: 9780387406206
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Taschenbuch. Zustand: Neu. Neuware -Now available in paperback. This book provides a comprehensive account of survey sampling theory and methodology which will be suitable for students and researchers across a variety of disciplines. A central theme is to show how statistical modeling is a vital component of the sampling process and in the choice of estimation technique. Statistical modeling has strongly influenced sampling theory in recent years and has clarified many issues related to the uses of auxiliary information in surveys. This is the first textbook that systematically extends traditional sampling theory with the aid of a modern model assisted outlook. The central ideas of sampling theory are developed from the unifying perspective of unequal probability sampling. The book covers classical topics as well as areas where significant new developments have taken place notably domain estimation, variance estimation, methods for handling nonresponse, models for measurement error, and the analysis of survey data. The authors have taken care to presuppose nothing more on the part of the reader than a first course in statistical inference and regression analysis. Throughout, the emphasis is on statistical ideas rather than advanced mathematics. Each chapter concludes with a range of exercises incorporating the analysis of data from actual finite populations. As a result, all those concerned with survey methodology or engaged in survey sampling will find this an invaluable and up-to-date coverage of the subject.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 712 pp. Englisch. Artikel-Nr. 9780387406206

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ISBN 10: 0387406204 ISBN 13: 9780387406206
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Now available in paperback. This book provides a comprehensive account of survey sampling theory and methodology which will be suitable for students and researchers across a variety of disciplines. A central theme is to show how statistical modeling is a vital component of the sampling process and in the choice of estimation technique. Statistical modeling has strongly influenced sampling theory in recent years and has clarified many issues related to the uses of auxiliary information in surveys. This is the first textbook that systematically extends traditional sampling theory with the aid of a modern model assisted outlook. The central ideas of sampling theory are developed from the unifying perspective of unequal probability sampling. The book covers classical topics as well as areas where significant new developments have taken place notably domain estimation, variance estimation, methods for handling nonresponse, models for measurement error, and the analysis of survey data. The authors have taken care to presuppose nothing more on the part of the reader than a first course in statistical inference and regression analysis. Throughout, the emphasis is on statistical ideas rather than advanced mathematics. Each chapter concludes with a range of exercises incorporating the analysis of data from actual finite populations. As a result, all those concerned with survey methodology or engaged in survey sampling will find this an invaluable and up-to-date coverage of the subject. Artikel-Nr. 9780387406206

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