On the estimating Burr XII distribution parameters
Version 2 2024-06-06, 11:20Version 2 2024-06-06, 11:20
Version 1 2016-10-13, 10:35Version 1 2016-10-13, 10:35
conference contribution
posted on 2024-06-06, 11:20 authored by B Abbasi, SZ Hosseinifard, M AbdollahianBurr XII distribution plays an important role in reliability modeling, risk analyzing and process capability estimation. However, estimating two parameters of the Burr XII distribution, i.e., c and k, is a complicated task and using conventional methods is not straightforward. In this paper a neural network to estimate Burr XII parameters is presented. The inputs of proposed neural network are skewness and kurtosis. The performance of proposed methods is evaluated in different simulation examples. © 2010 Crown Copyright.
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168-170Location
Las Vegas, NVPublisher DOI
Start date
2010-04-12End date
2010-04-14ISBN-13
9780769539843Publication classification
EN.1 Other conference paperTitle of proceedings
ITNG2010 - 7th International Conference on Information Technology: New GenerationsPublisher
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