Abstract
An approach for estimating the parameters of mixed Weibull distributions is presented. The problem is formulated as maximization of the likelihood function of the corresponding mixture model. For the solution of the optimization problem, Bare Bones Particle Swarm Optimization (BBPSO) algorithm is applied. Illustrative example for a case study using censored data are provided in order to show the suitability of the BBPSO algorithm for this kind of problem very common in lifetime modelling.
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Krohling, R.A., Campos, M., Borges, P. (2010). Bare Bones Particle Swarm Applied to Parameter Estimation of Mixed Weibull Distribution. In: Gao, XZ., Gaspar-Cunha, A., Köppen, M., Schaefer, G., Wang, J. (eds) Soft Computing in Industrial Applications. Advances in Intelligent and Soft Computing, vol 75. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11282-9_6
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DOI: https://doi.org/10.1007/978-3-642-11282-9_6
Publisher Name: Springer, Berlin, Heidelberg
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