Multiple frame surveys are increasingly used by large statistical agencies and private organizations to reduce frame undercoverage errors and also sampling costs. Estimation for multiple frame surveys has been considered ever since the work of Hartley (1962). In this work we extend the tools of calibration estimation developed so far for single frame surveys to the case of dual frame surveys. Cali- bration allows to handle different types of auxiliary information and can be shown to encompass as a special case the pseudo empirical maximum likelihood approach recently proposed by Rao and Wu (2010).
Calibration estimation in dual frame surveys
RANALLI, Maria Giovanna;
2012
Abstract
Multiple frame surveys are increasingly used by large statistical agencies and private organizations to reduce frame undercoverage errors and also sampling costs. Estimation for multiple frame surveys has been considered ever since the work of Hartley (1962). In this work we extend the tools of calibration estimation developed so far for single frame surveys to the case of dual frame surveys. Cali- bration allows to handle different types of auxiliary information and can be shown to encompass as a special case the pseudo empirical maximum likelihood approach recently proposed by Rao and Wu (2010).File in questo prodotto:
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