One of the assumptions of analysis of variance (ANOVA) is that the variances of the groups being compared are … approximately equal. This assumption is routinely checked before doing an analysis, although some workers consider ANOVA robust and … Bartlett's and Cochran's, although, as for most of these tests, they may well be more sensitive to violations of the ANOVA …

. Completed data from 486 respondents were analyzed using descriptive and inferential statistics, while factor analysis and ANOVA …

Principal Component Analysis (PCA). Most of the existing face recognition systems need training data during the learning process … out first. The results of the comparative analysis advocated for the initial utilization of the multilinear PCA in our … incremental modified fast PCA algorithm, was established. In order to utilize the multilinear PCA in the incremental process, a …

(PCA). The European Union countries are being encouraged to adopt PCA by policy analysts who explicitly call for its … adoption. To date, most of the discussion on PCA has focused on its overall merits. This paper focuses on the preconditions … needed for the adoption of an effective PCA. These preconditions include conceptual elements such as a prudential supervisory …

-order selection criteria (both information theoretic based and bootstrap-based). Also, we show that for some models the performance of … the bootstrap-based criterion improves significantly by using the proposed partial-model selection searching method. Index … Terms— Model order estimation, model selection, information theoretic criteria, bootstrap 1. INTRODUCTION Several model …

the classical paradigm, by investigating the best way to estimate bootstrap confidence limits on recreational harvest and …

estimator (CME), the bootstrap and the more recently proposed hook-and-loop resampling based model selection. The advantages and …

for testing the existence of cointegrating relationships using the parametric bootstrap. In these procedures, ARFIMA …, including the F goodness-of-fit statistic, the Durbin–Watson statistic and estimates of the residual d. The bootstrap … not in general asymptotically pivotal, but implemented by the bootstrap, are shown to be consistent against alternatives …

reasonable power when the critical values are obtained via a parametric bootstrap. …