The exponentiated Frechet regression: an alternative model for actuarial modelling purposes

Gunduz F. F., GENÇ A. İ.

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, cilt.86, sa.17, ss.3456-3481, 2016 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 86 Sayı: 17
  • Basım Tarihi: 2016
  • Doi Numarası: 10.1080/00949655.2016.1164160
  • Dergi Adı: JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.3456-3481
  • Anahtar Kelimeler: Exponentiated Gumbel distribution, generalized Frechet distribution, maximumlikelihood estimation, regression modelling, risk measures, DISTRIBUTIONS
  • Çukurova Üniversitesi Adresli: Evet

Özet

In this paper we introduce the exponentiated Frechet regression for modelling positive responses having a long-tailed distribution in a regression model, which are common in actuarial statistics. We propose two parameterizations each of which links the regression parameters with the explanatory variables. We then discuss the maximum likelihood estimation of the parameters both theoretically and empirically. In order to meet the needs of an actuary, closed-form expressions for certain risk measures for the exponentiated Frechet distribution are also derived. We employ the proposed model to a motorcycle claim size data set.