| dc.contributor | Universidade Estadual Paulista (UNESP) | |
| dc.creator | Boucher, Chris | |
| dc.date | 2016-10-26T17:47:42Z | |
| dc.date | 2016-10-26T17:47:42Z | |
| dc.date.accessioned | 2017-04-06T11:36:40Z | |
| dc.date.available | 2017-04-06T11:36:40Z | |
| dc.identifier | http://acervodigital.unesp.br/handle/unesp/360675 | |
| dc.identifier | http://objetoseducacionais2.mec.gov.br/handle/mec/5252 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/956957 | |
| dc.description | The arcsine transformation converts a binomial random variable into one that is nearly normal and whose variance depends very little on the parameter p. If X is a binomial random variable with parameters n and p (so X models the number of heads in n tosses of a coin that is weighted to have probability p of landing heads), then Y=sin^(-1)(sqrt(X/n)) is the arcsine transformation of X. The distribution of Y is nearly normal with mean sin^(-1)(sqrt(p)) and variance 1/(4*n). The histogram in the image is the distribution of Y with the rectangle heights scaled so that the sum of their areas is one, and the black curve is the approximating normal density function | |
| dc.description | Componente Curricular::Educação Superior::Ciências Exatas e da Terra::Matemática | |
| dc.publisher | Wolfram | |
| dc.relation | TheArcsineTransformationOfABinomialRandomVariable.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 | The Arcsine Transformation of a Binomial Random Variable | |
| dc.type | Otro | |
