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Details of talk

TitleConditional selection for overlap and rotation control
PresenterClaire Clarke (Australian Bureau of Statistics)
Author(s)Claire Clarke
SessionStatistics
Time14:30:00 2017-09-26
Abstract


Many statistical agencies face the problem of how to minimise respondent burden
whilst selecting representative samples for many surveys. Conditional selection
is an extension of a method first proposed by Keyfitz (1951). It manages overlap
control and rotation in panel surveys through the retention of selection
histories. We will give a brief overview of the method and describe some recent
innovations, such as an extension to two stage sampling.