Tempo de espera para a ocorrência de palavras em ensaios de Markov

Detalhes bibliográficos
Autor(a) principal: Florencio, Mariele Parteli
Data de Publicação: 2016
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional da UFSCAR
Texto Completo: https://repositorio.ufscar.br/handle/ufscar/7779
Resumo: Consider a sequence of independent coin flips where we denote the result of any landing for H, if coming up head, or T, otherwise. Create patterns with H's and T's, for example, HHHHH or HTHTH. How many times do we have to land the same coin until one such two patterns happens? For example, let the sequences being THTHHHHH and TTHTTHTHTH. The number of times that we landed the coin until HHHHH and HTHTH happens it was eight and ten times respectively. We can generalize this idea for a finite number of patterns in any nite set. Then, the rst of all interest of this dissertation is to nd the distribution of the waiting time until a member of a nite colection of patterns is observed in a sequence of Markov chains of letters in from finite set. More speci cally the letters in a nite set are generated by Markov chain until one of the patterns in any fi nite set happens. Besides that, we will find the probability of a pattern happen before of all patterns in the same nite set. Finally we will find the generator function of probability of waiting time.
id SCAR_699b69463f163056483ae6ffaed7088e
oai_identifier_str oai:repositorio.ufscar.br:ufscar/7779
network_acronym_str SCAR
network_name_str Repositório Institucional da UFSCAR
repository_id_str 4322
spelling Florencio, Mariele ParteliGava, Renato Jacobhttp://lattes.cnpq.br/0494315910583969http://lattes.cnpq.br/01612798356182349497e648-583a-4946-a210-4d7ae65837c62016-10-10T19:03:44Z2016-10-10T19:03:44Z2016-04-06FLORENCIO, Mariele Parteli. Tempo de espera para a ocorrência de palavras em ensaios de Markov. 2016. Dissertação (Mestrado em Estatística) – Universidade Federal de São Carlos, São Carlos, 2016. Disponível em: https://repositorio.ufscar.br/handle/ufscar/7779.https://repositorio.ufscar.br/handle/ufscar/7779Consider a sequence of independent coin flips where we denote the result of any landing for H, if coming up head, or T, otherwise. Create patterns with H's and T's, for example, HHHHH or HTHTH. How many times do we have to land the same coin until one such two patterns happens? For example, let the sequences being THTHHHHH and TTHTTHTHTH. The number of times that we landed the coin until HHHHH and HTHTH happens it was eight and ten times respectively. We can generalize this idea for a finite number of patterns in any nite set. Then, the rst of all interest of this dissertation is to nd the distribution of the waiting time until a member of a nite colection of patterns is observed in a sequence of Markov chains of letters in from finite set. More speci cally the letters in a nite set are generated by Markov chain until one of the patterns in any fi nite set happens. Besides that, we will find the probability of a pattern happen before of all patterns in the same nite set. Finally we will find the generator function of probability of waiting time.Consideremos uma sequência de lan camentos de moedas em que denotamos o resultado de cada lan çamento por H, se der cara, ou por T, se der coroa. Formemos uma palavra apenas com H's e T's, por exemplo, HHHHH ou HTHTH. Quantas vezes arremessaremos uma mesma moeda at e que uma das duas palavras acima ocorrer á? Por exemplo, dadas as sequências THTHHHHH e TTHTTHTHTH. O n úmero de vezes que arremessamos a moeda at é que HHHHH e HTHTH ocorreram pela primeira vez e oito e dez, respectivamente. Podemos generalizar a ideia acima para um n úmero fi nito de palavras em um alfabeto finito qualquer. Assim, o nosso principal objetivo dessa disserta ção e encontrarmos a distribui ção do tempo de espera at é que um membro de uma cole ção fi nita de palavras seja observado em uma sequência de ensaios de Markov de letras de um alfabeto fi nito. Mais especifi camente, as letras de um alfabeto finito são geradas por uma cadeia de Markov at é que uma das palavras de uma cole ção finita ocorra. Al ém disso encontraremos a probabilidade de que determinada palavra ocorra antes das demais palavras pertencentes a um mesmo conjunto fi nito. Por último encontraremos a fun ção geradora de probabilidade do tempo de espera.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)porUniversidade Federal de São CarlosCâmpus São CarlosPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsUFSCarPalavrasTempo de esperaCadeias de MarkovPatternsWaiting time and Markov chainsCIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICATempo de espera para a ocorrência de palavras em ensaios de MarkovWaiting time for the occurrence of patterns in Markov chainsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisOnline600600b4fa53cc-8f4f-4752-8a07-09685e52e8bdinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFSCARinstname:Universidade Federal de São Carlos (UFSCAR)instacron:UFSCARORIGINALDissMPFte.pdfDissMPFte.pdfapplication/pdf1012457https://repositorio.ufscar.br/bitstream/ufscar/7779/1/DissMPFte.pdf6124d4a74a53050982226492d8d53133MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81957https://repositorio.ufscar.br/bitstream/ufscar/7779/2/license.txtae0398b6f8b235e40ad82cba6c50031dMD52TEXTDissMPFte.pdf.txtDissMPFte.pdf.txtExtracted texttext/plain60090https://repositorio.ufscar.br/bitstream/ufscar/7779/3/DissMPFte.pdf.txtf20c6cdf3b67cedc1545c692d7692d4cMD53THUMBNAILDissMPFte.pdf.jpgDissMPFte.pdf.jpgIM Thumbnailimage/jpeg4662https://repositorio.ufscar.br/bitstream/ufscar/7779/4/DissMPFte.pdf.jpg55dad2e750036c3987e9593bfade0fb4MD54ufscar/77792023-09-18 18:31:39.889oai:repositorio.ufscar.br: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Repositório InstitucionalPUBhttps://repositorio.ufscar.br/oai/requestopendoar:43222023-09-18T18:31:39Repositório Institucional da UFSCAR - Universidade Federal de São Carlos (UFSCAR)false
dc.title.por.fl_str_mv Tempo de espera para a ocorrência de palavras em ensaios de Markov
dc.title.alternative.eng.fl_str_mv Waiting time for the occurrence of patterns in Markov chains
title Tempo de espera para a ocorrência de palavras em ensaios de Markov
spellingShingle Tempo de espera para a ocorrência de palavras em ensaios de Markov
Florencio, Mariele Parteli
Palavras
Tempo de espera
Cadeias de Markov
Patterns
Waiting time and Markov chains
CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA
title_short Tempo de espera para a ocorrência de palavras em ensaios de Markov
title_full Tempo de espera para a ocorrência de palavras em ensaios de Markov
title_fullStr Tempo de espera para a ocorrência de palavras em ensaios de Markov
title_full_unstemmed Tempo de espera para a ocorrência de palavras em ensaios de Markov
title_sort Tempo de espera para a ocorrência de palavras em ensaios de Markov
author Florencio, Mariele Parteli
author_facet Florencio, Mariele Parteli
author_role author
dc.contributor.authorlattes.por.fl_str_mv http://lattes.cnpq.br/0161279835618234
dc.contributor.author.fl_str_mv Florencio, Mariele Parteli
dc.contributor.advisor1.fl_str_mv Gava, Renato Jacob
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/0494315910583969
dc.contributor.authorID.fl_str_mv 9497e648-583a-4946-a210-4d7ae65837c6
contributor_str_mv Gava, Renato Jacob
dc.subject.por.fl_str_mv Palavras
Tempo de espera
Cadeias de Markov
topic Palavras
Tempo de espera
Cadeias de Markov
Patterns
Waiting time and Markov chains
CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA
dc.subject.eng.fl_str_mv Patterns
Waiting time and Markov chains
dc.subject.cnpq.fl_str_mv CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA
description Consider a sequence of independent coin flips where we denote the result of any landing for H, if coming up head, or T, otherwise. Create patterns with H's and T's, for example, HHHHH or HTHTH. How many times do we have to land the same coin until one such two patterns happens? For example, let the sequences being THTHHHHH and TTHTTHTHTH. The number of times that we landed the coin until HHHHH and HTHTH happens it was eight and ten times respectively. We can generalize this idea for a finite number of patterns in any nite set. Then, the rst of all interest of this dissertation is to nd the distribution of the waiting time until a member of a nite colection of patterns is observed in a sequence of Markov chains of letters in from finite set. More speci cally the letters in a nite set are generated by Markov chain until one of the patterns in any fi nite set happens. Besides that, we will find the probability of a pattern happen before of all patterns in the same nite set. Finally we will find the generator function of probability of waiting time.
publishDate 2016
dc.date.accessioned.fl_str_mv 2016-10-10T19:03:44Z
dc.date.available.fl_str_mv 2016-10-10T19:03:44Z
dc.date.issued.fl_str_mv 2016-04-06
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.citation.fl_str_mv FLORENCIO, Mariele Parteli. Tempo de espera para a ocorrência de palavras em ensaios de Markov. 2016. Dissertação (Mestrado em Estatística) – Universidade Federal de São Carlos, São Carlos, 2016. Disponível em: https://repositorio.ufscar.br/handle/ufscar/7779.
dc.identifier.uri.fl_str_mv https://repositorio.ufscar.br/handle/ufscar/7779
identifier_str_mv FLORENCIO, Mariele Parteli. Tempo de espera para a ocorrência de palavras em ensaios de Markov. 2016. Dissertação (Mestrado em Estatística) – Universidade Federal de São Carlos, São Carlos, 2016. Disponível em: https://repositorio.ufscar.br/handle/ufscar/7779.
url https://repositorio.ufscar.br/handle/ufscar/7779
dc.language.iso.fl_str_mv por
language por
dc.relation.confidence.fl_str_mv 600
600
dc.relation.authority.fl_str_mv b4fa53cc-8f4f-4752-8a07-09685e52e8bd
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Federal de São Carlos
Câmpus São Carlos
dc.publisher.program.fl_str_mv Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs
dc.publisher.initials.fl_str_mv UFSCar
publisher.none.fl_str_mv Universidade Federal de São Carlos
Câmpus São Carlos
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFSCAR
instname:Universidade Federal de São Carlos (UFSCAR)
instacron:UFSCAR
instname_str Universidade Federal de São Carlos (UFSCAR)
instacron_str UFSCAR
institution UFSCAR
reponame_str Repositório Institucional da UFSCAR
collection Repositório Institucional da UFSCAR
bitstream.url.fl_str_mv https://repositorio.ufscar.br/bitstream/ufscar/7779/1/DissMPFte.pdf
https://repositorio.ufscar.br/bitstream/ufscar/7779/2/license.txt
https://repositorio.ufscar.br/bitstream/ufscar/7779/3/DissMPFte.pdf.txt
https://repositorio.ufscar.br/bitstream/ufscar/7779/4/DissMPFte.pdf.jpg
bitstream.checksum.fl_str_mv 6124d4a74a53050982226492d8d53133
ae0398b6f8b235e40ad82cba6c50031d
f20c6cdf3b67cedc1545c692d7692d4c
55dad2e750036c3987e9593bfade0fb4
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UFSCAR - Universidade Federal de São Carlos (UFSCAR)
repository.mail.fl_str_mv
_version_ 1813715563208245248