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On the estimation of parameters, survival functions, and hazard rates based on fuzzy life time data

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  • Muhammad Shafiq
  • Reinhard Viertl

Abstract

Life time data analysis is regarded as one of the significant out-shoots of statistics. Classical statistical techniques reckon life time observations as precise numbers and solely cover variation among the observations. In fact, there are two types of uncertainty in data: variation among the observations and the fuzziness. To this effect, the analysis techniques, which do not consider fuzziness and are only based on precise life time observations, use incomplete information; hence lead to pseudo results. This study aimed at generalizing parameters estimation, survival functions, and hazard rates for fuzzy life time data.

Suggested Citation

  • Muhammad Shafiq & Reinhard Viertl, 2017. "On the estimation of parameters, survival functions, and hazard rates based on fuzzy life time data," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(10), pages 5035-5055, May.
    • Handle: RePEc:taf:lstaxx:v:46:y:2017:i:10:p:5035-5055
    DOI: 10.1080/03610926.2015.1099667
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