Computation of the sampling distribution of coherence estimate
Autor(a) principal: | |
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Data de Publicação: | 2006 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Anais da Academia Brasileira de Ciências (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652006000400016 |
Resumo: | The recent paper published by Miranda de Sa (2004) derived, for the first time, the sampling distribution of coherence estimated between two signals. The paper also considered computational issues of the sampling distribution, using an approximate method. In this short note, we provided several 1-line programs for the exact computation of various measures of the sampling distribution. The advantages of using these programs are discussed. |
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Anais da Academia Brasileira de Ciências (Online) |
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Computation of the sampling distribution of coherence estimatecoherence estimatenon central beta distributionR languagesampling distributionThe recent paper published by Miranda de Sa (2004) derived, for the first time, the sampling distribution of coherence estimated between two signals. The paper also considered computational issues of the sampling distribution, using an approximate method. In this short note, we provided several 1-line programs for the exact computation of various measures of the sampling distribution. The advantages of using these programs are discussed.Academia Brasileira de Ciências2006-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652006000400016Anais da Academia Brasileira de Ciências v.78 n.4 2006reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/S0001-37652006000400016info:eu-repo/semantics/openAccessNadarajah,SaraleesKotz,Samueleng2006-11-28T00:00:00Zoai:scielo:S0001-37652006000400016Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2006-11-28T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false |
dc.title.none.fl_str_mv |
Computation of the sampling distribution of coherence estimate |
title |
Computation of the sampling distribution of coherence estimate |
spellingShingle |
Computation of the sampling distribution of coherence estimate Nadarajah,Saralees coherence estimate non central beta distribution R language sampling distribution |
title_short |
Computation of the sampling distribution of coherence estimate |
title_full |
Computation of the sampling distribution of coherence estimate |
title_fullStr |
Computation of the sampling distribution of coherence estimate |
title_full_unstemmed |
Computation of the sampling distribution of coherence estimate |
title_sort |
Computation of the sampling distribution of coherence estimate |
author |
Nadarajah,Saralees |
author_facet |
Nadarajah,Saralees Kotz,Samuel |
author_role |
author |
author2 |
Kotz,Samuel |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Nadarajah,Saralees Kotz,Samuel |
dc.subject.por.fl_str_mv |
coherence estimate non central beta distribution R language sampling distribution |
topic |
coherence estimate non central beta distribution R language sampling distribution |
description |
The recent paper published by Miranda de Sa (2004) derived, for the first time, the sampling distribution of coherence estimated between two signals. The paper also considered computational issues of the sampling distribution, using an approximate method. In this short note, we provided several 1-line programs for the exact computation of various measures of the sampling distribution. The advantages of using these programs are discussed. |
publishDate |
2006 |
dc.date.none.fl_str_mv |
2006-12-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652006000400016 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652006000400016 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0001-37652006000400016 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
dc.source.none.fl_str_mv |
Anais da Academia Brasileira de Ciências v.78 n.4 2006 reponame:Anais da Academia Brasileira de Ciências (Online) instname:Academia Brasileira de Ciências (ABC) instacron:ABC |
instname_str |
Academia Brasileira de Ciências (ABC) |
instacron_str |
ABC |
institution |
ABC |
reponame_str |
Anais da Academia Brasileira de Ciências (Online) |
collection |
Anais da Academia Brasileira de Ciências (Online) |
repository.name.fl_str_mv |
Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC) |
repository.mail.fl_str_mv |
||aabc@abc.org.br |
_version_ |
1754302856563785728 |