Data smoothing

dc.contributor	Universidade Estadual Paulista (UNESP)
dc.creator	McLoone, Jon
dc.date	2016-10-26T17:56:38Z
dc.date	2016-10-26T17:56:38Z
dc.date.accessioned	2017-04-06T12:13:23Z
dc.date.available	2017-04-06T12:13:23Z
dc.identifier	http://acervodigital.unesp.br/handle/unesp/365117
dc.identifier	http://objetoseducacionais2.mec.gov.br/handle/mec/10588
dc.identifier.uri	http://repositorioslatinoamericanos.uchile.cl/handle/2250/961399
dc.description	A simple method for smoothing noisy data is to use a moving average. The original data is partitioned into overlapping sets of a given sample size, typically by shifting along one step at a time. The new smoothed data is made by computing the average for each of the sets. Larger sample sizes result in greater smoothing. Using the median of the sample sets gives a moving median for the data and produces different smoothing effects
dc.description	Componente Curricular::Ensino Médio::Matemática
dc.publisher	Wolfram Demonstration Project
dc.relation	DataSmoothing.nbp
dc.rights	Demonstration freeware using MathematicaPlayer
dc.subject	High School Statistics
dc.subject	Educação Básica::Ensino Médio::Matemática::Análise de dados e probabilidade
dc.title	Data smoothing
dc.type	Otro