Volume 25 , Issue 3 , PP: 01-13, 2025 | Cite this article as | XML | Html | PDF | Full Length Article
MAHA Adil Abdulla 1 * , Huda Hadib Abbas 2
Doi: https://doi.org/10.54216/IJNS.250301
The Frechet distribution is a versatile probability distribution that is used within a loose range in many important statistical fields, such as image processing, data analysis, and pattern recognition. It aims to explore and study the estimation of the parameters of the Frechet distribution using the noise-robust least squares method, as in the research paper, and it also has uses. There are many real-world scenarios. It is known that there is a growing challenge in estimating the parameter because of the noisy data. Depending on rigorous simulations and experimental analysis, we provide a novel powerful way to estimate the parameters for the Frechet Distribution Robust Least Squares approach to be flexible. Also, the results approach of this work will be very helpful in estimating the Frechet distribution parameters for diverse statistical applications. Also, we generalize our results to include the generalized neutrosophic case of this distribution dealing with neutrosophic numbers.
Frechet distribution , Parameter estimation , Noise-robust least-squares , Statistical modeling , Data analysis , Neutrosophic distribution , Neutrosophic Frechet's distribution
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