Loss modeling using Burr mixtures

S. A. Abu Bakar, Saralees Nadarajah () and Z. A. Absl Kamarul Adzhar
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S. A. Abu Bakar: University of Malaya
Saralees Nadarajah: University of Manchester
Z. A. Absl Kamarul Adzhar: University of Malaya

Empirical Economics, 2018, vol. 54, issue 4, No 5, 1503-1516

Abstract: Abstract The first-ever real data application of a two-component Burr mixture distribution is provided. It is fitted to three loss data sets: fire loss claims in Denmark, fire loss claims for three building categories in Belgium and fire loss data in Norway. Each of these data sets exhibits significant bimodality. The fits of the two-component Burr mixture distribution are compared to those of five other two-component mixture distributions: the two-component Weibull mixture, two-component gamma mixture, two-component Pareto mixture, two-component lognormal mixture and the two-component exponential mixture distributions. The Burr mixture distribution is shown to give the best fit for each data set. The relative performances of the fitted distributions were assessed in terms of Akaike information criterion values, Bayesian information criterion values, consistent Akaike information criterion values, corrected Akaike information criterion values, Hannan–Quinn criterion values, density plots and probability–probability plots.

Keywords: Loss; Maximum likelihood; Mixture distributions (search for similar items in EconPapers)
JEL-codes: C1 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s00181-017-1269-7

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