Journal article

A neural network applied to estimate Burr XII distribution parameters

B Abbasi, SZ Hosseinifard, DW Coit

RELIABILITY ENGINEERING & SYSTEM SAFETY | ELSEVIER SCI LTD | Published : 2010

Abstract

The Burr XII distribution can closely approximate many other well-known probability density functions such as the normal, gamma, lognormal, exponential distributions as well as Pearson type I, II, V, VII, IX, X, XII families of distributions. Considering a wide range of shape and scale parameters of the Burr XII distribution, it can have an important role in reliability modeling, risk analysis and process capability estimation. However, estimating parameters of the Burr XII distribution can be a complicated task and the use of conventional methods such as maximum likelihood estimation (MLE) and moment method (MM) is not straightforward. Some tables to estimate Burr XII parameters have been p..

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University of Melbourne Researchers