On the estimation of parameters, survival functions, and hazard rates based on fuzzy life time data. (English) Zbl 1369.62276
Summary: 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.
MSC:
62N86 | Fuzziness, and survival analysis and censored data |
62F10 | Point estimation |
62N02 | Estimation in survival analysis and censored data |
62N05 | Reliability and life testing |
62F86 | Parametric inference and fuzziness |