Estimate the frequency and severity of claims to compute prior and posterior premiums. The GLM method is used with Poisson, Negative Binomial, Gamma, and Log-Norm Distribution.
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Updated
Apr 26, 2018 - R
Estimate the frequency and severity of claims to compute prior and posterior premiums. The GLM method is used with Poisson, Negative Binomial, Gamma, and Log-Norm Distribution.
A metric for relative distance in Poisson sampling problems
Bayesian network analysis in R
Convenient functions for fitting Poisson distributions, regressions and processes to data-sets
Markov chain based Weather Pattern. Probability of drawing 3 balls 10,100 & 1000 times for randomly choosing black and Probability drawing 2 balls 10,100 & 1000 times for chosen random same color. An M/M/1 queue Poisson process. (Theory of Probability)
Plots of how negative binomial distribution converges to Poisson distribution
Using R to explore a variety of continuous variable distributions: exponential, geometric, gamma, and poisson.
Application of method proposed in Albert 1992 using JAGS.
Goodness-of-fit test for Poisson Distribution
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