Abstract
This paper discusses measures of loss robustness which could facilitate the specification of a loss function for estimating an unknown risk parameter. In particular risk robustness and posterior loss robustness are defined and it is shown that for the gamma distribution the Fisher-weighted squared-error loss function is robust in both senses.
Original language | English |
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Pages (from-to) | 1-6 |
Number of pages | 6 |
Journal | Insurance: Mathematics and Economics |
Volume | 16 |
Issue number | 1 |
DOIs | |
State | Published - Apr 1995 |
Keywords
- Fisher-weighted squared-error loss function
- Loss robustness
- Risk robustness
ASJC Scopus subject areas
- Statistics and Probability
- Economics and Econometrics
- Statistics, Probability and Uncertainty