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chic squirrel
02-21-2004, 01:40 AM
Could anyone tell me which probabiltiy distributions are asked in the exam?
Loss Models gives numerous distributions under the transformed beta and transformed gamma families. Should all be known for the exam?

T-roy Boy
02-21-2004, 11:12 AM
They will give you them for the exam. Just know how to manipulate them ehen asked.

Oblomov retired (student)
02-21-2004, 11:26 AM
This is the handout you are given on the exam:

http://www.soa.org/eande/c4_tables.pdf

I do wonder why it is so hard to put a sheet of paper straight on the scanner (or why they need to scan it in the first place)?

Howard Mahler
02-21-2004, 11:40 AM
Have a copy the tables attached to the exam when you do all of your studying. (Print out several copies.)

Continuous Distributions in Appendix A:
Most important Exponential.
Also important: Single Parameter Pareto, LogNormal, Gamma, Weibull, and Pareto.

Important but not in the Appendix: Uniform Distribution.

Howard Mahler

chic squirrel
02-21-2004, 04:16 PM
Thank you all, Mr Mahler....

I assume then that one need not know the inverse functions.
Also, for the ones you specified, is there anthing apart from the pdf,cdf,mean, variance and MLE that one should know?
In the discrete part, poisson,binomial,neagative binomial and geometric are the ones to be known or are there others as well to know?

thanks

oedipus rex
02-21-2004, 04:40 PM
it's important to know the properties of the distributions, something not on the information list. the memoryless property of the expoential for example, and the implications the property has on the various relationships for loss distributions. the distributions of sums of iid rvs. and so on. the beta distribution and bayesian analysis using uniformly distributed rvs.

Howard Mahler
02-23-2004, 03:21 PM
Knowing more is always better.
You should know what I mentioned fairly well.
There is no need to for example memorize the density or variance of a LogNormal, but practice a few times with the appendix.


Thank you all, Mr Mahler....

I assume then that one need not know the inverse functions.
Also, for the ones you specified, is there anthing apart from the pdf,cdf,mean, variance and MLE that one should know?
In the discrete part, poisson,binomial,neagative binomial and geometric are the ones to be known or are there others as well to know?

thanks

Jim Daniel
02-23-2004, 06:21 PM
to Hoawrd Mahler's list, I would definitely add the 2-parameter Pareto.

Jim Daniel
Austin Actuarial Seminars
www.actuarialseminars.com

Tim><
02-23-2004, 10:16 PM
I assumed that he was refering to the 2 Parameter Pareto when he separately mentioned the single parameter pareto and the pareto. At least, the provided tables refer to the 2 parameter as just the pareto.