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Approximation of the parameters of Lognormal distribution based on imprecise data

6

Maximum Likelihood Method , Fuzzy lifetime data , lognormal distribution , EM algorithm

1394

دومين همايش ملي رياضيات و كاربردهاي آن

فارسی

Some work has been done in the past on the approximation of the parameter of Lognormal distribution based on complete and censored samples. But, traditionally it is assumed that the available data are performed in exact numbers. However, in real world situations, some collected data might be imprecise and are represented in the form of fuzzy numbers. Therefore, we need suitable methodology to handle these data as well. This paper deals with the problem of approximating the parameters of Lognormal distribution when the available data are in the form of fuzzy numbers. A new method is proposed to determine the maximum likelihood estimates of the parameters of interest. Monte Carlo simulations are carried out to assess the accuracy of the proposed method.

4475081

1394

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6

1394