An insurance company has a portfolio of car insurance. For a given period of time, it is assumed that the drivers are classified in two categories: 'good drivers' and 'bad drivers'. The proportion of good drivers is 75% of the total drivers. We also know that the number of claims for a each driver is following Poisson with parameter A where A =1 for good drivers and A = 3 for bad drivers.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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An insurance company has a portfolio of car insurance. For a given period of time, it is assumed that
the drivers are classified in two categories: 'good drivers' and 'bad drivers'. The proportion of good
drivers is 75% of the total drivers. We also know that the number of claims for a each driver is following
Poisson with parameter A where A =1 for good drivers and A = 3 for bad drivers.
Transcribed Image Text:An insurance company has a portfolio of car insurance. For a given period of time, it is assumed that the drivers are classified in two categories: 'good drivers' and 'bad drivers'. The proportion of good drivers is 75% of the total drivers. We also know that the number of claims for a each driver is following Poisson with parameter A where A =1 for good drivers and A = 3 for bad drivers.
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