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Combining Information from Several Groups in Estimating Characteristics of Immigrant People

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Abstract

The topic of immigration is attracting more and more attention also from the methodological point of view due to elusiveness and anonymity difficulties. Some results on a suitable sampling technique (Blangiardo 1996) and on the problem of estimating the mean of a quantitative characteristic of interest (Statistica LXIII 3:537–560, 2003) are almost consolidated nowadays. Yet the estimate of a parameter referring to a small sub-population is still open. In such a context the presence of rare domains calls for an eligible composite estimator. The present paper proposes some point and region composite estimates for the proportion and makes a comparison between them via a simulative study based on real data.

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References

  • Berger JO (1985) Statistical decision theory and Bayesian analysis. Springer, Berlin Heidelberg New York

    MATH  Google Scholar 

  • Bishop YMM, Fienberg SE, Holland PW (1975) Discrete multivariate analysis. MIT Press, Cambridge

    MATH  Google Scholar 

  • Blangiardo G (1996) Il Campionamento per Centri o Ambienti di Aggregazione nelle Indagini sulla Presenza Straniera in Italia. In: Studi in onore di Giampiero Landenna. Giuffrè, Milano, pp 15–30

  • Blangiardo G (a cura di) (2003) L’Immigrazione Straniera in Lombardia 2002. Osservatorio Regionale per l’Integrazione e la Multietnicità, Fondazione I.S.MU. e Regione Lombardia

  • Fienberg SE, Holland PW (1972) On the choice of flattening constants for estimating multinomial probabilities. J Multivariate Anal 2:127–134

    Article  MathSciNet  Google Scholar 

  • Gelman AB, Carlin JS, Stern HS, Rubin DB (1995) Bayesian Daya analysis. Chapman & Hall, New York

    Google Scholar 

  • Goodman LA (1961) Snow-ball sampling. Ann Math Stat 32:148–170

    Article  Google Scholar 

  • Haldane JBS (1932) A note on inverse probability. Proc Camb Phil Soc 28

  • Hartley HO (1962) Multiple frame surveys. In: Proceedings of the social statistics section of the American statistical association, pp~203–206

  • Hartley HO (1974) Multiple frame methodology and selected applications. Sankhya C 36:99–118

    Google Scholar 

  • Kish L (1987) Statistical design for research. Wiley, New York

    MATH  Google Scholar 

  • Mecatti F, Migliorati S (2003) Center sampling: a strategy for elusive population surveys. Statistica LXIII 3:537–560

    MathSciNet  Google Scholar 

  • Platek R, Rao JNK, Särndal CE, Singh MP (1987) Small area statistics. An international symposium. Wiley, New York

    Google Scholar 

  • Rao JNK (2003) Small area estimation. Wiley, New York

    MATH  Google Scholar 

Download references

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Authors and Affiliations

  1. Dipartimento di Statistica, Universitè degli Studi di Milano Bicocca, via Bicocca degli Arcimboldi 8, 20126, Milano, Italy

    Donata Marasini & Sonia Migliorati

Authors
  1. Donata Marasini
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  2. Sonia Migliorati
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Correspondence to Donata Marasini.

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Marasini, D., Migliorati, S. Combining Information from Several Groups in Estimating Characteristics of Immigrant People. JISS 15, 107–127 (2006). https://doi.org/10.1007/s10260-006-0004-x

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  • DOI: https://doi.org/10.1007/s10260-006-0004-x

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