An Introduction to Model-Based Survey Sampling with Applications

UK
ISBN: 978-0-19-856662-5
Verlag: Oxford University Press, USA

Buch, Englisch, Band 37, 352 Seiten, Format (B × H): 159 mm x 241 mm, Gewicht: 544 g

Reihe: Oxford Statistical Science Series

Excellent exposition on model-based survey sampling from leading researchers
Ideal overview for graduate students in statistics, sciences, and social sciences

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.

Zielgruppe

Graduates and researchers in statistics, science, and social sciences as well as professional statisticians.

Autoren/Hrsg.

Chambers, Ray

Clark, Robert

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik

Inhaltsverzeichnis

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

Über Autor(innen)

Chambers, Ray
Ray Chambers, School of Mathematics and Applied Statistics, University of Wollongong, Australia

Clark, Robert
Robert Clark, School of Mathematics and Applied Statistics, University of Wollongong, Australia

Ray Chambers, School of Mathematics and Applied Statistics, University of Wollongong, Australia

Robert Clark, School of Mathematics and Applied Statistics, University of Wollongong, Australia