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On Application of a Certain Classification Procedure to Mean Value Estimation Under Double Sampling for Nonresponse

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Innovations in Classification, Data Science, and Information Systems

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Abstract

One of the techniques commonly used to reduce nonresponse bias is the two-phase sampling scheme. According to this scheme, when deterministic non-response appears, estimates of respondent and nonrespondent stratum means are weighted by sample respondent and nonrespondent fractions which estimate unknown shares of both strata in the whole population. In this paper, an alternative method of estimating these shares by using auxiliary information is considered and the application of the Ho-Kashyap (1965) classification procedure to mean value estimation is discussed. Some simulation results are presented.

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References

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Author information

Authors and Affiliations

  1. Department of Statistics, Katowice University of Economics, ul. Bogucicka 14, 40-226, Katowice, Poland

    Wojciech Gamrot

Authors
  1. Wojciech Gamrot
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Editors and Affiliations

  1. Institute of Business Administration and Economics, Brandenburg University of Technology Cottbus, Konrad-Wachsmann-Allee 1, 03046, Cottbus, Germany

    Daniel Baier (Chair of Marketing and Innovation Management) (Chair of Marketing and Innovation Management)

  2. Department of Medical Biometrics Charité Virchow-Klinikum, Humboldt University Berlin, 13344, Berlin, Germany

    Klaus-Dieter Wernecke

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© 2005 Springer-Verlag Berlin · Heidelberg

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Gamrot, W. (2005). On Application of a Certain Classification Procedure to Mean Value Estimation Under Double Sampling for Nonresponse. In: Baier, D., Wernecke, KD. (eds) Innovations in Classification, Data Science, and Information Systems. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26981-9_4

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