| dc.contributor | Universidade Estadual Paulista (UNESP) | |
| dc.creator | Boucher, Chris | |
| dc.date | 2011-05-26T19:49:19Z | |
| dc.date | 2011-05-26T19:49:19Z | |
| dc.date | 2011-05-26 | |
| dc.date.accessioned | 2017-04-05T16:49:45Z | |
| dc.date.available | 2017-04-05T16:49:45Z | |
| dc.identifier | http://acervodigital.unesp.br/handle/123456789/2928 | |
| dc.identifier | http://objetoseducacionais2.mec.gov.br/handle/mec/5238 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/830339 | |
| dc.description | If ƛ is a positive integer, then a Poisson random variable with parameter ƛ can be thought of as a sum of ƛ independent Poisson random variables, each with parameter one. It is a consequence of the central limit theorem that for large values of ƛ such a random variable can be well approximated by a normal random variable with the same mean and variance | |
| dc.description | Componente Curricular::Educação Superior::Ciências Exatas e da Terra::Matemática | |
| dc.publisher | Wolfram | |
| dc.relation | NormalApproximationToAPoissonRandomVariable.nbp | |
| dc.rights | Demonstration freeware using Mathematica Player | |
| dc.subject | Approximation Methods | |
| dc.subject | Educação Superior::Ciências Exatas e da Terra::Matemática::Matemática Aplicada | |
| dc.title | Normal Approximation to a Poisson Random Variable | |
| dc.type | Software | |
