This book is concerned with statistical methods for the analysis of data collected from a survey. A survey could consist of data collected from a questionnaire or from measurements, such as those taken as part of a quality control process. Concerned with the statistical methods for the analysis of sample survey data, this book will update and extend the successful book edited by Skinner, Holt and Smith on 'Analysis of Complex Surveys'. The focus will be on methodological issues, which arise when applying statistical methods to sample survey data and will discuss in detail the impact of complex sampling schemes. Further issues, such as how to deal with missing data and measurement of error will also be critically discussed. There have significant improvements in statistical software which implement complex sampling schemes (eg SUDAAN, STATA, WESVAR, PC CARP ) in the last decade and there is greater need for practical advice for those analysing survey data. To ensure a broad audience, the statistical theory will be made accessible through the use of practical examples. This book will be accessible to a broad audience of statisticians but will primarily be of interest to practitioners analysing survey data. Increased awareness by social scientists of the variety of powerful statistical methods will make this book a useful reference.
Author(s): R. L. Chambers, C. J. Skinner
Series: Wiley series in survey methodology
Edition: 1
Publisher: Wiley
Year: 2003
Language: English
Pages: 380
Tags: Математика;Теория вероятностей и математическая статистика;Математическая статистика;Прикладная математическая статистика;
Front
......Page 1
Contents
......Page 6
Preface
......Page 14
Contributors
......Page 17
1. Introduction
......Page 20
A. Approaches to inference......Page 30
2. Introduction to part A
......Page 31
3. Design-based and model-based methods for estimating model parameters
......Page 47
4. The Bayesian approach to sample survey inference
......Page 67
5. Interpreting a sample as evidence about a finite population
......Page 76
B. Categorical response data
......Page 89
6. Introduction to part B
......Page 90
7. Analysis of categorical response data from complex surveys: an appraisal and update
......Page 100
8. Fitting logistic regression models in case–control studies with complex sampling
......Page 124
C. Continuous and general response data
......Page 137
9. Introduction to part C
......Page 138
10. Graphical displays of complex survey data through kernel smoothing
......Page 145
11. Nonparametric regression with complex survey data
......Page 163
12. Fitting generalized linear models under informative sampling
......Page 187
D. Longitudinal data
......Page 208
13. Introduction to part D
......Page 209
14. Random effects models for longitudinal survey data
......Page 215
15. Event history analysis and longitudinal surveys
......Page 230
16. Applying heterogeneous transition models in labour economics: the role of youth training in labour market transitions
......Page 253
E. Incomplete data
......Page 283
17. Introduction to part E
......Page 284
18. Bayesian methods for unit and item nonresponse
......Page 295
19. Estimation for multiple phase samples
......Page 313
20. Analysis combining survey and geographically aggregated data
......Page 329
References
......Page 350
T. M. F. Smith: publications up to 2002
......Page 365
Author index
......Page 371
Subject index
......Page 376
Wiley series in survey methodology
......Page 380
