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A likelihood-based approach to combined surveys inference

Grant


Scheme


  • Discovery Projects

Abstract


  • Information is required to understand, monitor and improve any social, economic, commercial or industrial process. There are many potential sources of auxiliary data that can be used in conjunction with specially designed data collections, of which sample surveys are a major example, to provide this information. Statistical analysis that combines individual data from a number of sample surveys with known characteristics of the surveyed populations offers the prospect of substantial improvements in efficiency compared to the traditional approach of carrying out separate analyses on the component surveys. This project will use likelihood theory to develop and evaluate appropriate statistical methodology for this combined surveys inference.

Date/time Interval


  • 2011 - 2013

Sponsor Award Id


  • DP110104650

Local Award Id


  • 11762

Scheme


  • Discovery Projects

Abstract


  • Information is required to understand, monitor and improve any social, economic, commercial or industrial process. There are many potential sources of auxiliary data that can be used in conjunction with specially designed data collections, of which sample surveys are a major example, to provide this information. Statistical analysis that combines individual data from a number of sample surveys with known characteristics of the surveyed populations offers the prospect of substantial improvements in efficiency compared to the traditional approach of carrying out separate analyses on the component surveys. This project will use likelihood theory to develop and evaluate appropriate statistical methodology for this combined surveys inference.

Date/time Interval


  • 2011 - 2013

Sponsor Award Id


  • DP110104650

Local Award Id


  • 11762