A-D

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AcronymDefinition
A-DAnalog to Digital
A-DAnti-Diarrheal
A-DAnderson-Darling (statistical test)
A-DArm-Disarm
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References in periodicals archive ?
Os P-valores do Teste de normalidade de Anderson-Darling para as propriedades mecanicas variaram entre 0,473 a 0,691, sendo todos superiores a 0,05, comprovando ser normal a distribuicao dos dados encontrados (MONTGOMERY, 2005), validando o emprego dos intervalos de confianca calculados.
In this paper, the goodness-of-fit tests (Anderson-Darling test, Kolmogorov-Smirnov test, and Akaike information criterion) will be used in order to determine the deviation of strength distribution of four different set of specimens (glazed, polished with 1000grit, 600-grit, and 100-grit) from the Weibull distribution.
This hypothesis was explored further by applying the Anderson-Darling test (9) to the aggregated [P.sub.n] data.
However, if we were, we could click on the toolbar help icon (the question mark) and type in Anderson-Darling under the search tab to see how this statistic is used and interpreted.
The Anderson-Darling goodness-of-fit test showed that normality could not be rejected for any group.
The Anderson-Darling (ANDERSON; DARLING, 1952) described in several studies including Blain (2013) was used to assess the fit of the GEV-MLE, and GEV-CDN to the series because it is better than other tests (e.g.
Efetuou-se tambem o teste de Anderson-Darling para caracterizar a normalidade dos dados e quando necessario, realizou-se a transformacao dos resultados utilizando-se do metodo da potencia otima de BOX-COX (Atkinson, 1985).
A figura 2 ilustra os resultados do teste de normalidade de Anderson-Darling sobre os valores dos modulos de elasticidade longitudinal e transversal para as especies de madeira aqui avaliadas, sendo os P-valores encontrados ambos superiores a 0,05 (5%), comprovando a normalidade dos dados avaliados (MONTGOMERY, 2009).
The investigation of the normality of the data was performed by the Anderson-Darling test, and when asymmetric were transformed to achieve normality, using the formula: y' = 1/[square root of y].
Regarding extreme-value statistics, the Anderson-Darling test (AD) (ANDERSON; DARLING, 1952) is based on the sum of the squares of the differences between theoretical and empirical distribution with a weight function [[PSI](SPI)] which emphasizes the discrepancies in both tails (SHIN et al., 2012).
For the production values, the average and mid values were close and although the standard deviation and the coefficient of variation (CV) values were very high, with the kurtosis index (Ck) distant from zero indicating high variability among the points evaluated, the values presented normal distribution by the Anderson-Darling test.