On the Usefulness of the Logarithmic Skew Normal Distribution for Describing Claims Size Data

Joint Authors

Gómez-Déniz, Emilio
Calderín-Ojeda, E.

Source

Mathematical Problems in Engineering

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-09-18

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Civil Engineering

Abstract EN

In this paper, the three-parameter skew lognormal distribution is proposed to model actuarial data concerning losses.

This distribution yields a satisfactory fit to empirical data in the whole range of the empirical distribution as compared to other distributions used in the actuarial statistics literature.

To the best of our knowledge, this distribution has not been used in insurance context and it might be suitable for computing reinsurance premiums in situations where the right tail of the empirical distribution plays an important role.

Furthermore, a regression model can be simply derived to explain the response variable as a function of a set of explanatory variables.

American Psychological Association (APA)

Gómez-Déniz, Emilio& Calderín-Ojeda, E.. 2020. On the Usefulness of the Logarithmic Skew Normal Distribution for Describing Claims Size Data. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1193224

Modern Language Association (MLA)

Gómez-Déniz, Emilio& Calderín-Ojeda, E.. On the Usefulness of the Logarithmic Skew Normal Distribution for Describing Claims Size Data. Mathematical Problems in Engineering No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1193224

American Medical Association (AMA)

Gómez-Déniz, Emilio& Calderín-Ojeda, E.. On the Usefulness of the Logarithmic Skew Normal Distribution for Describing Claims Size Data. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1193224

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1193224