Sampling and Estimation from Finite Populations
eBook - ePub

Sampling and Estimation from Finite Populations

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eBook - ePub

Sampling and Estimation from Finite Populations

Book details
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About This Book

A much-needed reference on survey sampling and its applications that presents the latest advances in the field

Seeking to show that sampling theory is a living discipline with a very broad scope, this book examines the modern development of the theory of survey sampling and the foundations of survey sampling. It offers readers a critical approach to the subject and discusses putting theory into practice. It also explores the treatment of non-sampling errors featuring a range of topics from the problems of coverage to the treatment of non-response. In addition, the book includes real examples, applications, and a large set of exercises with solutions.

Sampling and Estimation from Finite Populations begins with a look at the history of survey sampling. It then offers chapters on: population, sample, and estimation; simple and systematic designs; stratification; sampling with unequal probabilities; balanced sampling; cluster and two-stage sampling; and other topics on sampling, such as spatial sampling, coordination in repeated surveys, and multiple survey frames. The book also includes sections on: post-stratification and calibration on marginal totals; calibration estimation; estimation of complex parameters; variance estimation by linearization; and much more.

  • Provides an up-to-date review of the theory of sampling
  • Discusses the foundation of inference in survey sampling, in particular, the model-based and design-based frameworks
  • Reviews the problems of application of the theory into practice
  • Also deals with the treatment of non sampling errors

Sampling and Estimation from Finite Populations is an excellent book for methodologists and researchers in survey agencies and advanced undergraduate and graduate students in social science, statistics, and survey courses.

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Yes, you can access Sampling and Estimation from Finite Populations by Yves Tille in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2020
ISBN
9781119071273
Edition
1
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Cover
  2. Table of Contents
  3. List of Figures
  4. List of Tables
  5. List of Algorithms
  6. Preface
  7. Preface to the First French Edition
  8. Table of Notations
  9. Chapter 1: A History of Ideas in Survey Sampling Theory
  10. Chapter 2: Population, Sample, and Estimation
  11. Chapter 3: Simple and Systematic Designs
  12. Chapter 4: Stratification
  13. Chapter 5: Sampling with Unequal Probabilities
  14. Chapter 6: Balanced Sampling
  15. Chapter 7: Cluster and Two‐stage Sampling
  16. Chapter 8: Other Topics on Sampling
  17. Chapter 9: Estimation with a Quantitative Auxiliary Variable
  18. Chapter 10: Post‐Stratification and Calibration on Marginal Totals
  19. Chapter 11: Multiple Regression Estimation
  20. Chapter 12: Calibration Estimation
  21. Chapter 13: Model‐Based approach
  22. Chapter 14: Estimation of Complex Parameters
  23. Chapter 15: Variance Estimation by Linearization
  24. Chapter 16: Treatment of Nonresponse
  25. Chapter 17: Summary Solutions to the Exercises
  26. Bibliography
  27. Author Index
  28. Subject Index
  29. End User License Agreement