VIABILIDADE DO USO DA FUNÇÃO DISCRIMINANTE DE FISHER: COMPARAÇÃO COM A MANAVA
Main Article Content
Abstract
The multivariate analysis methods allow the simultaneous study when several variable responses are obtained by plot. An option for the treatment of multivariate data is the transformation, using Fisher's linear discriminant function (FDF). After reduction of the p- dimensional to the unidimensional space, the univariate analysis of variance (ANOVA) is applied. The objectives of this paper were to evaluate the transformation efficiency of the multivariate data through the FDF and to compare the detection capacity of differences between treatments by the ANOVA of these data with the results obtained by means of the multivariate analysis of variance (MANOVA). Simulations were carried out to evaluate the acceptance rates of the null hypotheses for treatments, in four levels of correlations, equality of averages and variances for treatments and inequality between averages and variances. It was applied ANOVA, MANOVA and ANOVA of FDF to the values of these simulations. The results of the simulations indicate that FDF is a proper alternative for data evaluation.
Article Details
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).