Robust Bayesian analysis of generalized inverted family of distributions

2018 ◽  
Vol 48 (8) ◽  
pp. 2244-2268 ◽  
Author(s):  
Ajit Chaturvedi ◽  
Taruna Kumari
2020 ◽  
Vol 14 (1) ◽  
pp. 254-264
Author(s):  
Muhammad Aslam ◽  
Zahid Asghar ◽  
Zawar Hussain ◽  
Said Farooq Shah

Test ◽  
1994 ◽  
Vol 3 (2) ◽  
pp. 73-86 ◽  
Author(s):  
Cinzia Carota ◽  
Fabrizio Ruggeri

2010 ◽  
Vol 53 (1) ◽  
pp. 51-60 ◽  
Author(s):  
Mohammad Jafari Jozani ◽  
Éric Marchand ◽  
Ahmad Parsian

2005 ◽  
Vol 11 (2) ◽  
pp. 361-374 ◽  
Author(s):  
E. Gómez-Déniz ◽  
L. Bermúdez ◽  
I. Morillo

ABSTRACTThe use of classical bonus–malus systems entails very high maluses and other problems which, during recent years, have been criticised by actuaries. To avoid these problems, new bonus–malus models have been developed. For instance, it is well known that the use of an exponential loss function reduces the differences between overcharges and undercharges, solving the problem of high maluses. In order to measure the sensitivity of the exponential bonus–malus system, and according to robust Bayesian analysis, we first model the structure function by specifying a subclass of the generalised moments class. We then examine the range of relativities for each prior. Finally, we illustrate our method with a numerical example based on real data.


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