摘要：The main attention of this paper is to deduce the estimators of the parameters of the Logistic distribution using five estimating methods, namely, the fuzzy least-squares method, the LQ-moments (linear quantile moments) with three cases (trimean, median and Gastwirth), TL-moments (trimmed linear moments) with different individual cases, L-moments (linear moments) and the maximum likelihood method. Also, a comparison between the performances of these estimators using simulations is given. According to these comparisons, it is shown that the proposed fuzzy least-squares algorithm is preferred for large sample size.
