Course Communities

 

send to a friend

Normal approximation to Poisson distribution  

Normal Approximation to Poisson is justified by the Central Limit Theorem. If \(Y\) denotes the number of events occurring in an interval with mean \(\lambda\) and variance \(\lambda\), and \(X_1, X_2,\ldots, X_\ldots\) are independent Poisson random variables with mean 1, then the sum of \(X\)'s is a Poisson random variable with mean \(\lambda\). This site provides analytical description of this fact and includes an example.

Resource URL: https://onlinecourses.science.psu.edu/stat414/node/180

To rate this resource on a 1-5 scheme, click on the appropriate icosahedron:

						Current rating: 3	number of votes: 226
1	2	3	4	5

Subject classification(s): Univariate Distributions | Probability | Statistics and Probability

Creator(s): PSU STAT 415 Instructors

Contributor(s): PSU STAT 415 Instructors

This resource was cataloged by Ivo Dinov

Related Resources

Comments

• See comments on this resource.
• Make a comment on this resource.
• See general comments on Probability.

Report a problem with this resource.