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Analysis Combining Survey And Geographically Aggregated Data, David Steel, Mark Tranmer, D Holt
Analysis Combining Survey And Geographically Aggregated Data, David Steel, Mark Tranmer, D Holt
Professor David Steel
This chapter contains sections titled: Introduction and Overview Aggregate and Survey Data Availability Bias and Variance of Variance Component Estimators Based on Aggregate and Survey Data Simulation Studies Using Auxiliary Variables to Reduce Aggregation Effects Conclusions Acknowledgements
An Evaluation Of A Large-Scale Cati Household Survey Using Random Digit Dialling, Don Bennett, David Steel
An Evaluation Of A Large-Scale Cati Household Survey Using Random Digit Dialling, Don Bennett, David Steel
Professor David Steel
omputer-assisted telephone interviewing and random digit dialling are increasingly being used to conduct household surveys in Australia. However, there is little published information concerning Australian experience with such surveys. In 1995 the Government Statistician's Office in Queensland conducted a household survey to study population migration using these techniques. The survey involved a sample of 110 000 telephone numbers resulting in 38 000 responding households. This article describes a computerized survey management system that was developed and which provided information concerning important operational and quality aspects of the survey.
Restricted Quasi-Score Estimating Functions For Sample Survey Data, Yan Lin, David Steel, Raymond Chambers
Restricted Quasi-Score Estimating Functions For Sample Survey Data, Yan Lin, David Steel, Raymond Chambers
Professor David Steel
This paper applies the theory of the quasi-likelihood method to model-based inference for sample surveys. Currently, much of the theory related to sample surveys is based on the theory of maximum likelihood. The maximum likelihood approach is available only when the full probability structure of the survey data is known. However, this knowledge is rarely available in practice. Based on central limit theory, statisticians are often willing to accept the assumption that data have, say, a normal probability structure. However, such an assumption may not be reasonable in many situations in which sample surveys are used. We establish a framework …
An Introduction To Model-Based Survey Sampling With Applications, Raymond Chambers, Robert Clark
An Introduction To Model-Based Survey Sampling With Applications, Raymond Chambers, Robert Clark
Robert Clark
No abstract provided.