Conference Proceedings

On the estimating Burr XII distribution parameters

B Abbasi, SZ Hosseinifard, M Abdollahian

Itng2010 7th International Conference on Information Technology New Generations | Published : 2010

Abstract

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.

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