search for: distbribution

R version: 2.7.0 Running on: WinXP I am trying to model damage from fire losses (given that the loss occurred). Since I have the individual insured amounts, rather than sampling dollar damage from a continuous distribution ranging from 0 to infinity, I want to sample from a percent damage distribution from 0-100%. One obvious solution is to use runif(n, min=0, max=1), but this does not seem to be

...r-project.org Message-ID: <alpine.LFD.2.00.0812260849000.4072@gannet.stats.ox.ac.uk> Content-Type: text/plain; charset="utf-8"; Format="flowed" Not an R question as yet ..... In my limited experience (we have some insurance projets), 100% can occur, but otherwise a beta distbribution may suit, which suggests a mixture distribution. But start with an empirical examination (histogram, ecdf, density plot) of the distribution, since it may reveal other features. The next question is 'why model'? For such a simple problem (a univariate distribution) a plot may be a su...