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On the estimating Burr XII distribution parameters

conference contribution
posted on 2010-08-11, 00:00 authored by B Abbasi, Seyedehzahra Hosseinifard, M Abdollahian
Burr 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.

History

Pagination

168 - 170

Publisher

IEEE

Location

Las Vegas, NV

Start date

2010-04-12

End date

2010-04-14

ISBN-13

9780769539843

Publication classification

EN.1 Other conference paper

Title of proceedings

ITNG2010 - 7th International Conference on Information Technology: New Generations

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