Finite Population Sampling and Inference: A Prediction ApproachISBN: 978-0-471-29341-5
Hardcover
536 pages
September 2000
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Introduction to Prediction Theory.
Prediction Theory Under the General Linear Model.
Bias-Robustness.
Robustness and Efficiency.
Variance Estimation.
Stratified Populations.
Models with Qualitative Auxiliaries.
Clustered Populations.
Robust Variance Estimation in Two-Stage Cluster Sampling.
Alternative Variance Estimation Methods.
Special Topics and Open Questions.
Appendices.
Bibliography.
Answers to Select Exercises.
Indexes.
Prediction Theory Under the General Linear Model.
Bias-Robustness.
Robustness and Efficiency.
Variance Estimation.
Stratified Populations.
Models with Qualitative Auxiliaries.
Clustered Populations.
Robust Variance Estimation in Two-Stage Cluster Sampling.
Alternative Variance Estimation Methods.
Special Topics and Open Questions.
Appendices.
Bibliography.
Answers to Select Exercises.
Indexes.