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Professor David Steel

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Full-Text Articles in Science and Technology Studies

Maximum Likelihood Estimation For Sample Surveys, Raymond Chambers, David Steel, Suojin Wang, Alan Welsh Jun 2013

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 Jun 2013

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 Jun 2013

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 …


Inclusion Of Mobile Phone Numbers Into An Ongoing Population Health Survey In New South Wales, Australia: Design, Methods, Call Outcomes, Costs And Sample Representativeness, Margo Barr, Jason J. Van Ritten, David G. Steel, Sarah V. Thackway Jun 2013

Inclusion Of Mobile Phone Numbers Into An Ongoing Population Health Survey In New South Wales, Australia: Design, Methods, Call Outcomes, Costs And Sample Representativeness, Margo Barr, Jason J. Van Ritten, David G. Steel, Sarah V. Thackway

Professor David Steel

Background: In Australia telephone surveys have been the method of choice for ongoing jurisdictional population health surveys. Although it was estimated in 2011 that nearly 20% of the Australian population were mobile-only phone users, the inclusion of mobile phone numbers into these existing landline population health surveys has not occurred. This paper describes the methods used for the inclusion of mobile phone numbers into an existing ongoing landline random digit dialling (RDD) health survey in an Australian state, the New South Wales Population Health Survey (NSWPHS). This paper also compares the call outcomes, costs and the representativeness of the resultant …