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    An Introduction to Model-Based Survey Sampling with Applications (Oxford Statistical Science) (Hardback) By (author) Ray Chambers, By (author) Robert Clark

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    DescriptionThis 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.


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    Title
    An Introduction to Model-Based Survey Sampling with Applications
    Authors and contributors
    By (author) Ray Chambers, By (author) Robert Clark
    Physical properties
    Format: Hardback
    Number of pages: 280
    Width: 162 mm
    Height: 234 mm
    Thickness: 22 mm
    Weight: 581 g
    Language
    English
    ISBN
    ISBN 13: 9780198566625
    ISBN 10: 019856662X
    Classifications

    BIC E4L: MAT
    Nielsen BookScan Product Class 3: S7.8
    B&T Book Type: NF
    B&T Modifier: Region of Publication: 03
    B&T General Subject: 750
    BIC subject category V2: JHBC, PBT
    B&T Modifier: Academic Level: 02
    Ingram Subject Code: MA
    B&T Modifier: Text Format: 06
    BIC subject category V2: MBNS
    B&T Merchandise Category: UP
    BISAC V2.8: SOC024000, SOC027000, MAT029020
    DC22: 519.5/2, 519.52
    DC23: 519.52
    LC subject heading: , ,
    LC classification: QA276.6 .C426 2012
    LC subject heading:
    Thema V1.0: PBT, JHBC, MBNS
    Illustrations note
    17 b/w line drawings
    Publisher
    Oxford University Press
    Imprint name
    Oxford University Press
    Publication date
    01 April 2012
    Publication City/Country
    Oxford
    Table of contents
    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