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Estimation methods for mixed populations

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  • Giovanna NICOLINI

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  • Anna LO PRESTI

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Abstract

In a few sampling investigations the survey leads to non-homogeneous information, owing to the particular treated subject or to the particular typology of population involved. This happens when a part of the sample units provides reliable information, while another part provides non-reliable information on a few variables. In these circumstances the sample can be regarded as formed by two sub-samples referred to two partitions of a same population that differ in some characteristics. Let's consider, for instance, the investigations connected with some typologies of pathologies, as HIV, or those carried out on the immigrants (see centre sampling), or on particular typologies of workers. The reliable data come, respectively, from information obtained by patients registered in a medical structure, by legal immigrants and, finally, by legal workers. On the contrary non-reliable data come from information obtained by the sick people who have not yet been listed, by clandestine immigrants, and by illegal workers

Suggested Citation

  • Giovanna NICOLINI & Anna LO PRESTI, 2003. "Estimation methods for mixed populations," Departmental Working Papers 2003-24, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  • Handle: RePEc:mil:wpdepa:2003-24
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    File URL: http://wp.demm.unimi.it/files/wp/2003/DEMM-2003_024wp.pdf
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    1. La Torre Davide & Rocca Matteo, 2002. "Approximating continuous functions by iterated function systems and optimization problems," Economics and Quantitative Methods qf0206, Department of Economics, University of Insubria.
    2. L. Montrucchio & F. Privileggi, 1999. "Fractal steady states instochastic optimal control models," Annals of Operations Research, Springer, vol. 88(0), pages 183-197, January.
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