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Klappentext 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. Zusammenfassung 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. 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
