ABSTRACT In this paper, we have used SAS software for the multivariate analysis of repeated measures data due to Grizzel and Allen (1969). We have applied four multivariate methods viz MANOVA, Profile Analysis, non-parametric multisample rank sum test and non-parametric multisample median test to analyse two sets of data. The findings of the study reveal that profile analysis gives similar resu...

We introduce a unified approach for testing variety of rather general null hypotheses that can be formulated in terms covariance matrices. These include as special cases, example, equal variances, traces, or elements the matrix taking certain values. The proposed method only requires very few assumptions and thus promises to broad practical use. Different test statistics are defined, their asym...

The main goal of this paper is to study residuals in a special case the extended growth curve model, called GMANOVA–MANOVA model. With help an example, emphasis put on model formulation, interpretation and that vanish, with discussion about reasons behind fact consequence it.

We draw a random subset of [Formula: see text] rows from a frame with [Formula: see text] rows (vectors) and [Formula: see text] columns (dimensions), where [Formula: see text] and [Formula: see text] are proportional to [Formula: see text] For a variety of important deterministic equiangular tight frames (ETFs) and tight non-ETFs, we consider the distribution of singular values of the [Formula...

We propose analysis of information in speech using three sources-language (phone), speaker and channeL Information in speech is measured as mutual information between the source and the set of features extracted from speech signaL We assume that distribution of features can be modeled using Gaussian distribution. The mutual information is computed using the results of analysis of variability in...

Face recognition is one of the most broadly researched subjects in pattern recognition. Feature extraction is a key step in face recognition. As an effective texture description operator, Local Binary Pattern (LBP) feature is firstly introduced by Ahonen et al into face recognition. Because of the advantages of simplicity and efficiency, LBP feature is widely applied and later on becomes one of...