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ISSN: 1549-3644 (Print)
ISSN: 1558-6359 (Online)
Research Article Open Access

ESTIMATION OF WEIBULL PARAMETERS USING A RANDOMIZED NEIGHBORHOOD SEARCH FOR THE SEVERITY OF FIRE ACCIDENTS

Soontorn Boonta1, Anchalee Sattayatham2 and Pairote Sattayatham1
  • 1 Suranaree University of Technology, Thailand
  • 2 Mahidol University, Thailand

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.

Journal of Mathematics and Statistics
Volume 9 No. 1, 2013, 12-17

DOI: https://doi.org/10.3844/jmssp.2013.12.17

Submitted On: 19 December 2012 Published On: 15 March 2013

How to Cite: 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

Open AccessCopyright: © 2013 Soontorn Boonta, Anchalee Sattayatham and Pairote Sattayatham. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • Weibull Distribution
  • Parameter Estimation
  • Randomized Neighborhood Search