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

Muhammad Shafiq and Reinhard Viertl

Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 10, 5035-5055

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.

Date: 2017
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DOI: 10.1080/03610926.2015.1099667

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