Abstract
This paper presents various regression models for use in estimating ultimate losses. A valuable aspect of this paper is the discussion of the various sources for error in forecasts inherent in using such models as well as various statistical measures of efficiency for striking a balance between capturing the pattern inherent in the data without losing forecast accuracy.
Year
1986
Categories
Financial and Statistical Methods
Statistical Models and Methods
Regression
Actuarial Applications and Methodologies
Reserving
Reserving Methods
Actuarial Applications and Methodologies
Reserving
Uncertainty and Ranges
Publications
CLRS Transcripts
