ESTIMATION OF WEIBULL PARAMETERS USING A RANDOMIZED NEIGHBORHOOD SEARCH FOR THE SEVERITY OF FIRE ACCIDENTS
Soontorn Boonta1, Anchalee Sattayatham2 & Pairote Sattayatham1 Show affiliations
- Suranaree University of Technology, Thailand
- Mahidol University, Thailand
Journal of Mathematics and Statistics, Volume 9, Issue 1, pp. 12–17 · doi.org/10.3844/jmssp.2013.12.17
Abstract
In this study, we applied Randomized Neighborhood Search (RNS) to estimate the Weibull parameters to determine the severity of fire accidents; the data were provided by the Thai Reinsurance Public Co., Ltd. We compared this technique with other frequently-used techniques: the Maximum Likelihood Estimator (MLE), the Method of Moments (MOM), the Least Squares Method (LSM) and the weighted least squares method (WLSM) and found that RNS estimates the parameters more accurately than do MLE, MOM, LSM or WLSM.
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Boonta, S., Sattayatham, A. & Sattayatham, P. (2013). ESTIMATION OF WEIBULL PARAMETERS USING A RANDOMIZED NEIGHBORHOOD SEARCH FOR THE SEVERITY OF FIRE ACCIDENTS. Journal of Mathematics and Statistics, 9(1), 12–17. https://doi.org/10.3844/jmssp.2013.12.17
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