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  • Angelov, Angel G.Umeå universitet,Statistik (author)

Maximum likelihood estimation for survey data with informative interval censoring

  • Article/chapterEnglish2019

Publisher, publication year, extent ...

  • 2018-07-17
  • Springer,2019
  • electronicrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:umu-148254
  • https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-148254URI
  • https://doi.org/10.1007/s10182-018-00329-xDOI

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  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • Interval-censored data may arise in questionnaire surveys when, instead of being asked to provide an exact value, respondents are free to answer with any interval without having pre-specified ranges. In this context, the assumption of noninformative censoring is violated, and thus, the standard methods for interval-censored data are not appropriate. This paper explores two schemes for data collection and deals with the problem of estimation of the underlying distribution function, assuming that it belongs to a parametric family. The consistency and asymptotic normality of a proposed maximum likelihood estimator are proven. A bootstrap procedure that can be used for constructing confidence intervals is considered, and its asymptotic validity is shown. A simulation study investigates the performance of the suggested methods.

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  • Ekström, Magnus,1966-Umeå universitet,Statistik(Swepub:umu)maek0021 (author)
  • Umeå universitetStatistik (creator_code:org_t)

Related titles

  • In:AStA Advances in Statistical Analysis: Springer103:2, s. 217-2361863-81711863-818X

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