Collective risk models, Advanced Statistics

Collective risk models: The models applied to insurance portfolios which do not create direct reference to the risk characteristics of individual members of the portfolio when describing the aggregate claims or experience of the entire portfolio itself. To model entire claims of the collection of risks over the ?xed period of time in the future, the collective approach incorporates claim frequency and claim severity both components into the probability distribution of aggregate.

Posted Date: 7/26/2012 6:44:47 AM | Location : United States







Related Discussions:- Collective risk models, Assignment Help, Ask Question on Collective risk models, Get Answer, Expert's Help, Collective risk models Discussions

Write discussion on Collective risk models
Your posts are moderated
Related Questions
Codominance : The relationship between genotype at the locus and a phenotype to which it in?uences. If an individuals with heterozygote (such as, AB) genotype is phenotypically dif

Dr. Stallter has been teaching basic statistics for many years. She knows that 80% of the students will complete the assigned problems. She has also determined that among those who

Generalized method of moments (gmm) is the estimation method popular in econometrics which generalizes the method of the moments estimator. Essentially same as what is known as the

Product-limit estimator is a method for estimating the survival functions for the set of survival times, some of which might be censored observations. The logic behind the procedu

Can I use ICC for this kind of data? Wind Month Day Temp(DV) 7.4 5 1 67 8 5 2 72 12.6 5 3 74 11.5 5 4 62 I am taking temp as the dependent variable. There are many more values.

historigrams and histogram

explain the graphical method of measure of central tendency

Poisson regression In case of Poisson regression we use ηi = g(µi) = log(µi) and a variance V ar(Yi) = φµi. The case φ = 1 corresponds to standard Poisson model. Poisson regre

The transformation of the Pearson's product moment correlation coefficient, r, can be given by   The statistic z has the normal distribution with mean   here ρ is the pop

Normal approximation : Normal distributions which approximate other distributions; such as, a normal distribution with the mean np and variance np(1 - p) which acts as an approxima