Description: These are the slides that go with the paper 'Mortality Modeling using Projection Pursuit Regression.' In that paper, the authors develop sixteen separate mortality models based on the current SOA mortality data being used for the preferred life study. The models are constructed using projection pursuit regression. The sixteen models arise from all combinations of sex, smoker status, select and ultimate status, and per life vs. per dollar mortality rates. In general the models confirm the following four facts: 1 Mortality rates increase as attained age increases. 2 Mortality rates increase as duration increases. 3 Mortality rates decrease as Face Amount Bands increase. 4. Mortality rates decrease if preferred underwriting is present.

Description: Abstract for the 2008 ERM Monograph paper, “Estimating Mortality Risk Using Predictive Modeling”

Description: This displays what you get from the help browser if you use the help command in a R comm and window help(read.csv).

Description: This article discusses the Extreme Value Seminar at the 2004 Bowles Symposium.

Description: Author demonstrates how to link statistical sub-models with copula dependency models using the R copula package

Description: Using the copula package in the R computing language for ERM modeling.

Description: In this article, the author compares risk identification to the computer game, FreeCell.

Description: This article discusses how to locate, download and install R.

Description: This is an image of an example table from a MS Access database.

Description: This is a display of a CRAN Mirror dropdown list.