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Full-Text Articles in Social and Behavioral Sciences
Maximum Likelihood Estimation For Sample Surveys, Raymond Chambers, David Steel, Suojin Wang, Alan Welsh
Maximum Likelihood Estimation For Sample Surveys, Raymond Chambers, David Steel, Suojin Wang, Alan Welsh
Professor David Steel
No abstract provided.
Optimum Allocation Of Sample To Strata And Stages With Simple Additional Constraints, Robert Clark, David Steel
Optimum Allocation Of Sample To Strata And Stages With Simple Additional Constraints, Robert Clark, David Steel
Professor David Steel
The optimum allocation of a sample to strata and stages in a stratified two-stage design for a simple cost function is well known. In practice there may be reasons to impose simple additional constraints. It is shown how the theory for optimum allocation can be generalized to account for such constraints. A simple way of assessing the effect that each constraint has on the efficiency of the sample design is developed. This general approach allows several additional constraints that are used in practice to be applied. Data from the 1996 redesign of the Australian Monthly Labour Force Survey are used …
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 …