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Maximum likelihood ...
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Angelov, Angel G.Umeå universitet,Statistik
(författare)
Maximum likelihood estimation for survey data with informative interval censoring
- Artikel/kapitelEngelska2019
Förlag, utgivningsår, omfång ...
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2018-07-17
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Springer,2019
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electronicrdacarrier
Nummerbeteckningar
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LIBRIS-ID:oai:DiVA.org:umu-148254
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https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-148254URI
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https://doi.org/10.1007/s10182-018-00329-xDOI
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Språk:engelska
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Sammanfattning på:engelska
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Ämneskategori:ref swepub-contenttype
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Ämneskategori:art swepub-publicationtype
Anmärkningar
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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.
Ämnesord och genrebeteckningar
Biuppslag (personer, institutioner, konferenser, titlar ...)
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Ekström, Magnus,1966-Umeå universitet,Statistik(Swepub:umu)maek0021
(författare)
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Umeå universitetStatistik
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:AStA Advances in Statistical Analysis: Springer103:2, s. 217-2361863-81711863-818X
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