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Model Assisted Survey Sampling : Springer Statistics - Carl-Erik Sarndal

Model Assisted Survey Sampling

Springer Statistics

Paperback Published: 31st October 2003
ISBN: 9780387406206
Number Of Pages: 695

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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.

Industry Reviews

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

Principles of Estimation for Finite Populations and Important Sampling Designs: Survey Sampling in Theory and Practice
Basic Ideas in Estimation from Probability Samples
Unbiased Estimation for Element Sampling Designs
Unbiased Estimation for Cluster Sampling and Sampling in Two or More Stages
Introduction to More Complex Estimation Problems
Estimation through Linear Modeling, Using Auxiliary Variables: The Regression Estimator
Regression Estimators for Element Sampling Designs
Regression Estimators for Cluster Sampling and Two-Stage Sampling
Further Questions in Design and Analysis of Surveys: Two-Phase Sampling
Estimation for Domains
Variance Estimation
Searching for Optimal Sampling Designs
Further Statistical Techniques for Survey Data
A Broader View of Errors in Surveys: Nonsampling Errors and Extensions of Probability Sampling Theory
Nonresponse
Measurement Errors
Quality Declarations for Survey Data
References
Table of Contents provided by Publisher. All Rights Reserved.

ISBN: 9780387406206
ISBN-10: 0387406204
Series: Springer Statistics
Audience: General
Format: Paperback
Language: English
Number Of Pages: 695
Published: 31st October 2003
Publisher: SPRINGER VERLAG GMBH
Country of Publication: US
Dimensions (cm): 23.37 x 15.8  x 3.25
Weight (kg): 0.99

Earn 363 Qantas Points
on this Book