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Measuring process capability for bivariate non-normal process using the bivariate burr distribution Abbasi, B, Ahmad, S, Abdollahian, M and Zeephongsekul, P 2007, 'Measuring process capability for bivariate non-normal process using the bivariate burr distribution', WSEAS Transactions on Business and Economics, vol. 5, no. 4, pp. 71-77. Document type: Journal Article Collection: Journal Articles Attached Files Name Description MIMEType Size n2006015400.pdf Published Version application/pdf 465.08KB Title Measuring process capability for bivariate non-normal process using the bivariate burr distribution Author(s) Abbasi, B Ahmad, S Abdollahian, M Zeephongsekul, P Year 2007 Journal name WSEAS Transactions on Business and Economics Volume number 5 Issue number 4 Start page 71 End page 77 Total pages 7 Publisher World Scientific and Engineering Academy and Society Abstract As is well known, process capability analysis for more than one quality variables is a complicated and sometimes contentious area with several quality measures vying for recognition. When these variables exhibit non-normal characteristics, the situation becomes even more complex. The aim of this paper is to measure Process Capability Indices (PCIs) for bivariate non-normal process using the bivariate Burr distribution. The univariate Burr distribution has been shown to improve the accuracy of estimates of PCIs for univariate non-normal distributions (see for example, [7] and [16]). Here, we will estimate the PCIs of bivariate non-normal distributions using the bivariate Burr distribution. The process of obtaining these PCIs will be accomplished in a series of steps involving estimating the unknown parameters of the process using maximum likelihood estimation coupled with simulated annealing. Finally, the Proportion of Non-Conformance (PNC) obtained using this method will be compared with those obtained from variables distributed under the bivariate Beta, Weibull, Gamma and Weibull-Gamma distributions. Subject Operations Research Manufacturing Safety and Quality Business and Management not elsewhere classified Keyword(s) Process Capability Index (PCI) bivariate Burr distribution simulated annealing algorithm nonnormal distribution multivariate processes. Copyright notice © 2007 World Scientific and Engineering Academy and Society ISSN 1109-9526 Versions Version Filter Type Tue, 19 Feb 2013, 13:22:45 EST Thu, 02 Aug 2018, 11:42:10 EST Tue, 20 Nov 2018, 12:30:58 EST Filtered Full Access Statistics: 145 Abstract Views, 40 File Downloads  -  Detailed Statistics Created: Tue, 19 Feb 2013, 13:10:00 EST by Catalyst Administrator