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Improvement on estimating quantites in finite population using indirect methods of estimation

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Advances in Intelligent Data Analysis Reasoning about Data (IDA 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1280))

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Abstract

New methods for estimating confidence limits for quantites in a finite population are proposed. These methods use auxiliary information through the ratio, difference and regression estimator of the population distribution function. They may be applied to any type of sampling. Simulation studies based of two real populations show that the methods proposed in this paper can be considerably more efficient than the customary classic method.

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Author information

Authors and Affiliations

  1. Department of Statistics and Operations Research, University of Granada, 18071, Granada, Spain

    M. Rueda García & A. Arcos Cebrián

  2. Department of Statistics and Operations Research, University of Almería, 04120, Almería, Spain

    E. Artés Rodríguez

Authors
  1. M. Rueda García
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  2. A. Arcos Cebrián
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  3. E. Artés Rodríguez
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Editor information

Xiaohui Liu Paul Cohen Michael Berthold

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© 1997 Springer-Verlag

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García, M.R., Cebrián, A.A., Rodríguez, E.A. (1997). Improvement on estimating quantites in finite population using indirect methods of estimation. In: Liu, X., Cohen, P., Berthold, M. (eds) Advances in Intelligent Data Analysis Reasoning about Data. IDA 1997. Lecture Notes in Computer Science, vol 1280. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0052865

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  • DOI: https://doi.org/10.1007/BFb0052865

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  • Print ISBN: 978-3-540-63346-4

  • Online ISBN: 978-3-540-69520-2

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