Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Silva, Dávilla Vieira Odízio da"'
Autor:
Maia Lima, Luís Fernando, Maroldi, Alexandre Masson, Silva, Dávilla Vieira Odízio da, Hayashi, Carlos Roberto Massao, Hayashi, Maria Cristina Piumbato Innocentini
Publikováno v:
Em Questão; v. 24, Edição Especial 6 EBBC, 2018; 216-235
Em Questão
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
Em Questão
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
This paper presents a new formula for detecting outliers through Exploratory Data Analysis, while taking data asymmetry into account. The effect of removing outliers from the original dataset was also assessed. The new formula was applied on three da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::4d75935f8fdb55d9c212d850a9b95baa
https://seer.ufrgs.br/index.php/EmQuestao/article/view/86661
https://seer.ufrgs.br/index.php/EmQuestao/article/view/86661
Autor:
Maia Lima, Luís Fernando, Maroldi, Alexandre Masson, Silva, Dávilla Vieira Odízio da, Hayashi, Carlos Roberto Massao, Hayashi, Maria Cristina Piumbato Innocentini
Publikováno v:
Em Questão; v. 23, Edição Especial 5 EBBC, 2017; 254-273
Em Questão
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
Em Questão
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
This study presents formulas for detection of outliers for univariate data, taking into consideration the positive as well as the negative asymmetry of data. This new formula is based on the Exploratory Data Analysis and is simulated through the comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::d689047a44311c733f5fa2b5febcb4f5
https://seer.ufrgs.br/index.php/EmQuestao/article/view/68030
https://seer.ufrgs.br/index.php/EmQuestao/article/view/68030
Publikováno v:
Em Questão; Vol. 20 No. 3 (2014); 43-60
Em Questão; v. 20 n. 3 (2014); 43-60
Em Questão
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
Em Questão; v. 20 n. 3 (2014); 43-60
Em Questão
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
Looking at the most productive subset of authors as outliers, this study proposes the use of Exploratory Data Analysis (EDA) to detect outliers, and thus the productive elite. Price’s Law or the square root criteria proposed by Price has two major
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::f20df948e5ce251df68bb21dd2125193
https://seer.ufrgs.br/index.php/EmQuestao/article/view/49088
https://seer.ufrgs.br/index.php/EmQuestao/article/view/49088