An algorithm for maximum likelihood estimation in the three parameter Burr XII distribution

✍ Scribed by Alan J. Watkins

• Publisher: Elsevier Science
• Year: 1999
• Tongue: English
• Weight: 90 KB
• Volume: 32
• Category: Article
• ISSN: 0167-9473
• DOI: 10.1016/s0167-9473(99)00024-9

✦ Synopsis

This paper outlines an algorithm for calculating the maximum likelihood estimates of the three parameter Burr XII distribution. The algorithm exploits the link between this distribution and the two parameter Weibull distribution, which emerges as a limiting case of the distribution, and also calculates a discriminating statistic, used to determine which distribution provides a better ÿt to data. We outline the basis behind the discriminating , discuss an implementation of the algorithm, and illustrate our discussion with the output from this implementation for published data sets.