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A Bounded Derivation Method for the Maximum Likelihood Estimation on Weibull Parameters

26 June 2009
DeTao Mao
Wenyuan Li
ArXiv (abs)PDFHTML
Abstract

For the basic maximum likelihood estimating function of the two parameters Weibull distribution, a simple proof on its global monotonicity is given to ensure the existence and uniqueness of its solution. The boundary of the function's first-order derivation is defined based on its scale-free property. With a bounded derivation, the possible range of the root of this function can be determined. A novel root-finding algorithm employing these established results is proposed accordingly, its convergence is proved analytically as well. Compared with other typical algorithms for this problem, the proposed algorithm has a higher efficiency, its performance is also demonstrated by numerical experiments.

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