Abstract
In the lognormal loglinear model the distribution of some random vector is specified by assuming that its logarithm, i.e. the random vector consisting of the logarithms of the coordinates of the given random vector, has a normal distribution and fulfills the conditions of a linear model.
This is a preview of subscription content, log in via an institution to check access.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Schmidt, K.D. (2016). Lognormal Loglinear Model (Basics). 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_19
Download citation
DOI: https://doi.org/10.1007/978-3-319-30056-6_19
Published:
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)