Estimation of Logistic Parameters Using a Fuzzy Least-squares Method and Different Types of Moments
Hegazy M. Zaher, Ahmed A. El-sheik, Noura A. T. Abu El-Magd
Journal of Scientific Research and Reports · pp. 514–532 · Published 5 Nov 2014
10.9734/JSRR/2015/12483Abstract
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.
Cited by 2
Fatimah Assim Mahdi · AIP Conference Proceedings · 2023
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