Artikel

A note on parameter estimation in the composite Weibull-Pareto distribution

Composite models have received much attention in the recent actuarial literature to describe heavy-tailed insurance loss data. One of the models that presents a good performance to describe this kind of data is the composite Weibull-Pareto (CWL) distribution. On this note, this distribution is revisited to carry out estimation of parameters via mle and mle2 optimization functions in R. The results are compared with those obtained in a previous paper by using the nlm function, in terms of analytical and graphical methods of model selection. In addition, the consistency of the parameter estimation is examined via a simulation study.

Language
Englisch

Bibliographic citation
Journal: Risks ; ISSN: 2227-9091 ; Volume: 6 ; Year: 2018 ; Issue: 1 ; Pages: 1-8 ; Basel: MDPI

Classification
Wirtschaft
Subject
loss distributions
composite models
risk measures
Weibull-Pareto distribution
Zipf plot

Event
Geistige Schöpfung
(who)
Calderín-Ojeda, Enrique
Event
Veröffentlichung
(who)
MDPI
(where)
Basel
(when)
2018

DOI
doi:10.3390/risks6010011
Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Calderín-Ojeda, Enrique
  • MDPI

Time of origin

  • 2018

Other Objects (12)