Practical methods for design and analysis of complex surveys /

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Bibliographic Details
Author / Creator:Lehtonen, Risto.
Edition:2nd ed.
Imprint:Chichester, West Sussex, England ; Hoboken, NJ : J. Wiley, c2004.
Description:viii, 349 p. : ill. ; 24 cm.
Language:English
Series:Statistics in practice
Statistics in practice)
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/5065171
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Other authors / contributors:Pahkinen, Erkki.
ISBN:0470847697 (alk. paper)
Notes:Includes bibliographical references (p. 331-338) and indexes.
Table of Contents:
  • Preface
  • 1. Introduction
  • 2. Basic Sampling Techniques
  • 2.1. Basic definitions
  • 2.2. The Province '91 population
  • 2.3. Simple random sampling and design effect
  • 2.4. Systematic sampling and intra-class correlation
  • 2.5. Selection with probability proportional to size
  • 3. Further Use of Auxiliary Information
  • 3.1. Stratified sampling
  • 3.2. Cluster sampling
  • 3.3. Model-assisted estimation
  • 3.4. Efficiency comparison using design effects
  • 4. Handling Nonsampling Errors
  • 4.1. Reweighting
  • 4.2. Imputation
  • 4.3. Chapter summary and further reading
  • 5. Linearization and Sample Reuse in Variance Estimation
  • 5.1. The Mini-Finland Health Survey
  • 5.2. Ratio estimators
  • 5.3. Linearization method
  • 5.4. Sample reuse methods
  • 5.5. Comparison of variance estimators
  • 5.6. The Occupational Health Care Survey
  • 5.7. Linearization method for covariance-matrix estimation
  • 5.8. Chapter summary and further reading
  • 6. Model-assisted Estimation for Domains
  • 6.1. Framework for domain estimation
  • 6.2. Estimator type and model choice
  • 6.3. Construction of estimators and model specification
  • 6.4. Further comparison of estimators
  • 6.5. Chapter summary and further reading
  • 7. Analysis of One-way and Two-way Tables
  • 7.1. Introductory example
  • 7.2. Simple goodness-of-fit test
  • 7.3. Preliminaries for tests for two-way tables
  • 7.4. Test of homogeneity
  • 7.5. Test of independence
  • 7.6. Chapter summary and further reading
  • 8. Multivariate Survey Analysis
  • 8.1. Range of methods
  • 8.2. Types of models and options for analysis
  • 8.3. Analysis of categorical data
  • 8.4. Logistic and linear regression
  • 8.5. Chapter summary and further reading
  • 9. More Detailed Case Studies
  • 9.1. Monitoring quality in a long-term transport survey
  • 9.2. Estimation of mean salary in a business survey
  • 9.3. Model selection in a socioeconomic survey
  • 9.4. Multi-level modelling in an educational survey
  • References
  • Author Index
  • Subject Index