• We are pleased to announce that the winner of our Feedback Prize Draw for the Winter 2024-25 session and winning £150 of gift vouchers is Zhao Liang Tay. Congratulations to Zhao Liang. If you fancy winning £150 worth of gift vouchers (from a major UK store) for the Summer 2025 exam sitting for just a few minutes of your time throughout the session, please see our website at https://www.acted.co.uk/further-info.html?pat=feedback#feedback-prize for more information on how you can make sure your name is included in the draw at the end of the session.
  • Please be advised that the SP1, SP5 and SP7 X1 deadline is the 14th July and not the 17th June as first stated. Please accept out apologies for any confusion caused.

Emperical bayes credibility theory

D

DevonMatthews

Member
I'm having some trouble understanding this horribly incoherent load of jargon published institute in the core reading. I'd like to know what the exact assumptional differences between EBCT model I and II are,

Under model II, since the Xj's given theta are NOT identically distributed, then why would E(xj|theta) and Pjvar(xj|thera) not depend on j? Why would assumption 2.2 be a weekend form of it's model I equivalent only to go on and make 2 more assumptions that are heavier?

Appreciate any explanation between the difference in assumptions between model I and II, read chapter atleast 5 times, do not understand. Thank you.
 
Last edited by a moderator:
I'm having some trouble understanding this horribly incoherent load of jargon published institute in the core reading. I'd like to know what the exact assumptional differences between EBCT model I and II are,

Under model II, since the Xj's given theta are NOT identically distributed, then why would E(xj|theta) and Pjvar(xj|thera) not depend on j? Why would assumption 2.2 be a weekend form of it's model I equivalent only to go on and make 2 more assumptions that are heavier?

Appreciate any explanation between the difference in assumptions between model I and II, read chapter atleast 5 times, do not understand. Thank you.

It is a bit grim.

Bottom line is Model 2 is no longer saying they are identically distributed but it still wants them to have the same mean and variance (over the different years). So together the assumptions are weaker than Model 1.

Exam questions do ask for you to list the assumptions. But most are of the number crunching kind (ie stick values in the formulae given on pages 29 and 30 of the Tables.
 
Back
Top