Sampling statistics /

Sampling statistics /

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Bibliographic Details
Author / Creator:Fuller, Wayne A.
Imprint:Hoboken, N.J. : Wiley, c2009.
Description:1 online resource.
Language:English
Series:Wiley series in survey methodology
Wiley series in survey methodology.
Subject:
Sampling (Statistics)
Estimation theory.
Mathematical statistics.
Estimation theory.
Mathematical statistics.
Sampling (Statistics)
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/8062738
Hidden Bibliographic Details
ISBN:0470523549 (electronic bk.)
9780470523544 (electronic bk.)
Notes:Description based on print version record.
Includes bibliographical references and index.
Other form:Original 9780470454602 0470454601
Table of Contents:
  • Preface
  • List of Tables
  • List of Principal Results
  • List Of Examples
  • 1. Probability Sampling From A Finite Universe
  • 1.1. Introduction
  • 1.2. Probability Sampling
  • 1.3. Limit Properties
  • 1.4. Methods of Unequal Probability Sample Selection
  • 1.5. References
  • 1.6. Exercises
  • 1.7. Appendix 1A: Some Order Concepts
  • 2. Use Of Auxiliary Information In Estimation
  • 2.1. Ratio Estimation
  • 2.2. Regression Estimation
  • 2.3. Models and Regression Estimation
  • 2.4. Regression and Stratification
  • 2.5. Estimation with Conditional Probabilities
  • 2.6. Regression for Two-Stage Samples
  • 2.7. Calibration
  • 2.8. Weight Bounds
  • 2.9. Maximum Likelihood and Raking Ratio
  • 2.10. References
  • 2.11. Exercises
  • 2.12. Appendix 2A: Missouri Data
  • 3. Use Of Auxiliary Information In Design
  • 3.1. Introduction
  • 3.2. Multiple-Stage Samples
  • 3.3. Multiple-Phase Samples
  • 3.4. Rejective sampling
  • 3.5. References
  • 3.6. Exercises
  • 4. Replication Variance Estimation
  • 4.1. Introduction
  • 4.2. Jackknife Variance Estimation
  • 4.3. Balanced Half-Samples
  • 4.4. Two-Phase Samples
  • 4.5. The Bootstrap
  • 4.6. References
  • 4.7. Exercises
  • 5. Models Used In Conjunction With Sampling
  • 5.1. Nonresponse
  • 5.2. Imputation
  • 5.3. Variance Estimation
  • 5.4. Outliers and Skewed Populations
  • 5.5. Small Area Estimation
  • 5.6. Measurement Error
  • 5.7. References
  • 5.8. Exercises
  • 6. Analytic Studies
  • 6.1. Introduction
  • 6.2. Models and Simple Estimators
  • 6.3. Estimation of Regression Coefficients
  • 6.4. Instrumental variables
  • 6.5. Nonlinear models
  • 6.6. Cluster and multistage samples
  • 6.7. Pretest procedures
  • 6.8. References
  • 6.9. Exercises
  • References
  • Index

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