
An Introduction to Model-Based Survey Sampling with Applications
Oxford University Press
1st Edition
Published on 12. January 2012
Book
Hardback
280 pages
978-0-19-856662-5 (ISBN)
Description
This text brings together important ideas on the model-based approach to sample survey, which has been developed over the last twenty years. Suitable for graduate students and professional statisticians, it moves from basic ideas fundamental to sampling to more rigorous mathematical modelling and data analysis and includes exercises and solutions.
More details
Series
Language
English
Place of publication
Oxford
United Kingdom
Target group
Professional and scholarly
Graduates and researchers in statistics, science, and social sciences as well as professional statisticians.
Illustrations
17 b/w line drawings
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 20 mm
Weight
587 gr
ISBN-13
978-0-19-856662-5 (9780198566625)
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Schweitzer Classification
Other editions
Additional editions

Robert Clark Ray Chambers
Introduction to Model-Based Survey Sampling with Applications
E-Book
01/2012
1st Edition
Oxford University Press
€23.49
Available for download

E-Book
01/2012
1st Edition
OUP Oxford
€23.49
Available for download
Persons
Ray Chambers, School of Mathematics and Applied Statistics, University of Wollongong, Australia
Robert Clark, School of Mathematics and Applied Statistics, University of Wollongong, Australia
Robert Clark, School of Mathematics and Applied Statistics, University of Wollongong, Australia
Author
School of Mathematics and Applied Statistics, University of Wollongong, Australia
School of Mathematics and Applied Statistics, University of Wollongong, Australia
Content
PART I: BASICS OF MODEL-BASED SURVEY INFERENCE ; 1. Introduction ; 2. The Model-Based Approach ; 3. Homogeneous Populations ; 4. Stratified Populations ; 5. Populations with Regression Structure ; 6. Clustered Populations ; 7. The General Linear Population Model ; PART II: ROBUST MODEL-BASED INFERENCE ; 8. Robust Prediction under Model Misspecification ; 9. Robust Estimation of the Prediction Variance ; 10. Outlier Robust Prediction ; PART III: APPLICATIONS OF MODEL-BASED SURVEY INFERENCE ; 11. Inference for Nonlinear Population Parameters ; 12. Survey Inference via Sub-Sampling ; 13. Estimation for Multipurpose Surveys ; 14. Inference for Domains ; 15. Prediction for Small Areas ; 16. Model-Based Inference for Distributions and Quantiles ; 17. Using Transformations in Sample Survey Inference ; Exercises