Lognormal Loglinear Model (Loss Reserving)

Kaulfuß, Stefan; Schmidt, Klaus D.; Thänert, Katrin

doi:10.1007/978-3-319-30056-6_20

Stefan Kaulfuß¹⁰,
Klaus D. Schmidt¹⁰ &
Katrin Thänert¹⁰

Part of the book series: EAA Series ((EAAS))

1161 Accesses

Abstract

The lognormal loglinear model can, in particular, be applied in loss reserving. In this article we first discuss the particularities arising in this application and we then study a special lognormal loglinear model in loss reserving.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Author information

Authors and Affiliations

Technische Universität Dresden, Dresden, Germany
Stefan Kaulfuß, Klaus D. Schmidt & Katrin Thänert

Authors

Stefan Kaulfuß
View author publications
You can also search for this author in PubMed Google Scholar
Klaus D. Schmidt
View author publications
You can also search for this author in PubMed Google Scholar
Katrin Thänert
View author publications
You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Klaus D. Schmidt .

Editor information

Editors and Affiliations

Lohmar, Germany
Michael Radtke
Freital, Germany
Klaus D. Schmidt
Kerpen, Germany
Anja Schnaus

Rights and permissions

Reprints and permissions

Copyright information

About this chapter

Cite this chapter

Kaulfuß, S., Schmidt, K.D., Thänert, K. (2016). Lognormal Loglinear Model (Loss Reserving). In: Radtke, M., Schmidt, K.D., Schnaus, A. (eds) Handbook on Loss Reserving. EAA Series. Springer, Cham. https://doi.org/10.1007/978-3-319-30056-6_20

Download citation

DOI: https://doi.org/10.1007/978-3-319-30056-6_20
Published: 28 October 2016
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-30054-2
Online ISBN: 978-3-319-30056-6
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)

Publish with us

Policies and ethics