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Fitting burr XII distribution to continuous positive data using hybrid search method

conference contribution
posted on 2008-01-01, 00:00 authored by S Ahmad, Asef NazariAsef Nazari, M Abdollahian, P Zeephongsekul
In this paper we propose fitting Burr distributions to continuous positively skewed data. The proportion of nonconformance (PNC) for process measurements is then obtained by using Burr distribution, rather than through the traditional practice of fitting different distributions to real data. Also, a new approach called hybrid search method is introduced to find parameters of the fitted Burr distribution. The results based on this hybrid search are then compared with the exact proportion of nonconformance of the data. Finally, a case study using real data is presented.

History

Event

Information and Knowledge Engineering. Conference (2008 : Las Vegas, Nevada)

Pagination

546 - 552

Publisher

CSREA Press

Location

Las Vegas, Nevada

Start date

2008-07-14

End date

2008-07-17

ISBN-13

9781601320759

ISBN-10

1601320752

Language

eng

Publication classification

E1.1 Full written paper - refereed

Editor/Contributor(s)

H Arabnia, R Hashemi

Title of proceedings

IKE 2008 : Proceedings of the 2008 International Conference of Information and Knowledge Engineering

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