MANCOVA for one way classification with homogeneity of regression coefficient vectors

Rough Support Vectors: Classification, Regression, Clustering

Support vector techniques were proposed by Vapnik as an alternative to neural networks for solving non-linear problems. The concepts of margins in support vector techniques provides a natural relationship with the rough set theory. This chapter describes rough set theoretic extensions of support vector technologies for classification, prediction, and clustering. The theoretical formulations of ...

Constant Coefficient Tests for Random Coefficient Regression

Random coe cient regression models have been applied in di erent elds and they constitute a unifying setup for many statistical problems. The nonparametric study of this model started with Beran and Hall (1992) and it has become a fruitful framework. In this paper we propose and study statistics for testing a basic hypothesis concerning this model: the constancy of coe cients. The asymptotic be...

Analysis of Variance for a One-Way Classification of Data

A Regression Model for Multilevel Homogeneity Analysis

One of the basic techniques that analyzes categorical data is homogeneity analysis. The technique originated in the work of Guttman [17] as a method of scale construction using reciprocal averaging. Burt [5] described homogeneity analysis as a principal components analysis of qualitative data. Hayashi [19] stressed homogeneity analysis as one possible way of quantifying categories. It should be...

Speaker Age Classification and Regression Using i-Vectors

In this paper, we examine the use of i-vectors both for age regression as well as for age classification. Although i-vectors have been previously used for age regression task, we extend this approach by applying fusion of i-vectors and acoustic features regression to estimate the speaker age. By our fusion we obtain a relative improvement of 12.6% comparing to solely ivector system. We also use...