Recent years have seen a sharp increase in the application of sophisticated statistical modelling methods to sample survey data. Analysis of Survey Data aims to provide a solid basis for the statistical theory underpinning these applications. This book brings together two key statistical traditions, statistical modelling - such as regression analysis - and sample survey methods, as used for sample design and estimation.
Provides broad coverage of statistical methodology used in the analysis of survey data.
Discusses the theoretical foundations of this methodology from a range of perspectives.
Covers of a wide range of techniques, including categorical data analysis, generalized linear models, and longitudinal data analysis.
Addresses issues of complex sampling and incomplete data.
Features examples showing how methods are used in practice.
Each chapter is written by a leading expert in the field.
Includes an up-to-date bibliography.
Analysis of Survey Data is aimed primarily at statisticians interested in methods of analysing sample survey data. It should also provide a useful reference to many other survey data analysts in the social sciences and in the public and private sectors.
About the Author
R. L. Chambers is the editor of Analysis of Survey Data, published by Wiley.
C. J. Skinner is the editor of Analysis of Survey Data, published by Wiley.
