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Statements

Subject Item
n2:RIV%2F49777513%3A23520%2F11%3A43898254%21RIV12-MSM-23520___
rdf:type
skos:Concept n14:Vysledek
dcterms:description
The sample product enables users to statistically process data from EEG/ERP experiments. It is implemented as java library and apart from refactored one way analysis of variance (ANOVA) it contains three newly implemented statistical methods - a two way analysis of variance (ANOVA), a one way multivariate ANOVA (MANOVA) and a two way MANOVA. The MANOVA is implemented with all MANOVA significant statistical tests - Pillai- Bartlett trace, Wilk's lambda, Hotelling Lawley trace and Roy's greatest characteristic root. The library was presented in the paper Roman Mouček, Petr Jaroš, Petr Ježek, Václav Papež: Software infrastructure for EEG/ERP research, Proceedings of the International Conference on Knowledge Enginering and Ontology Development, Paris, 2011. The user manual for the product is in the attached file manual.pdf. The sample product enables users to statistically process data from EEG/ERP experiments. It is implemented as java library and apart from refactored one way analysis of variance (ANOVA) it contains three newly implemented statistical methods - a two way analysis of variance (ANOVA), a one way multivariate ANOVA (MANOVA) and a two way MANOVA. The MANOVA is implemented with all MANOVA significant statistical tests - Pillai- Bartlett trace, Wilk's lambda, Hotelling Lawley trace and Roy's greatest characteristic root. The library was presented in the paper Roman Mouček, Petr Jaroš, Petr Ježek, Václav Papež: Software infrastructure for EEG/ERP research, Proceedings of the International Conference on Knowledge Enginering and Ontology Development, Paris, 2011. The user manual for the product is in the attached file manual.pdf.
dcterms:title
Library of statistical methods for EEG/ERP experiments Library of statistical methods for EEG/ERP experiments
skos:prefLabel
Library of statistical methods for EEG/ERP experiments Library of statistical methods for EEG/ERP experiments
skos:notation
RIV/49777513:23520/11:43898254!RIV12-MSM-23520___
n14:predkladatel
n15:orjk%3A23520
n3:aktivita
n8:S
n3:aktivity
S
n3:dodaniDat
n16:2012
n3:domaciTvurceVysledku
n13:8353557 n13:9565140
n3:druhVysledku
n10:R
n3:duvernostUdaju
n12:S
n3:ekonomickeParametry
Zpracování statistické EEG dat - zlepšení + není nutné kupovat speciální drahé statistické softwary
n3:entitaPredkladatele
n4:predkladatel
n3:idSjednocenehoVysledku
209472
n3:idVysledku
RIV/49777513:23520/11:43898254
n3:interniIdentifikace
EEGERPSTATISTICS
n3:jazykVysledku
n17:eng
n3:klicovaSlova
EEG/ERP experiment, one way ANOVA, two way ANOVA, one way MANOVA,
n3:klicoveSlovo
n11:two%20way%20ANOVA n11:EEG%2FERP%20experiment n11:one%20way%20ANOVA n11:one%20way%20MANOVA
n3:kontrolniKodProRIV
[D4EEB39B9357]
n3:licencniPoplatek
n19:N
n3:lokalizaceVysledku
http://www.kiv.zcu.cz/vyzkum/software/2011/anova-manova-eeg.html
n3:obor
n5:JC
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n16:2011
n3:technickeParametry
knihovna v Javě, zdrojové a projektové soubory, manuál, ZČU v Plzni, FAV, KIV, Ing. Roman Mouček, Ph.D., moucek@kiv.zcu.cz, 377632465. The sample product enables users to statistically process data from EEG/ERP experiments. It is implemented as java library and apart from refactored one way analysis of variance (ANOVA) it contains three newly implemented statistical methods ? a two way analysis of variance (ANOVA), a one way multivariate ANOVA (MANOVA) and a two way MANOVA. The MANOVA is implemented with all MANOVA significant statistical tests ? Pillai- Bartlett trace, Wilk?s lambda, Hotelling Lawley trace and Roy?s greatest characteristic root. The library was presented in the paper Roman Mouček, Petr Jaroš, Petr Ježek, Václav Papež: Software infrastructure for EEG/ERP research, Proceedings of the International Conference on Knowledge Enginering and Ontology Development, Paris, 2011.
n3:tvurceVysledku
Mouček, Roman Prokop, Tomáš
n3:vlastnik
n4:vlastnikVysledku
n3:vyuzitiJinymSubjektem
n9:A
n18:organizacniJednotka
23520