Common Information Components Analysis

Eciency Measurement of Multiple Components units in Data Envelopment Analysis Using Common Set of Weights

content analysis of health information components in school textbooks

introduction: since health is one of god's great bounties bestowed on human, he should attempt to keep it especially in today's machine life. therefore, people have to be educated before any kind of disease occurs. this study aimed to analyze the contents of secondary school textbooks regarding health education indices such as skin health, oral hygiene, nutrition, sports and physical activity, ...

Functional common principal components models

In this paper, we discuss the extension to the functional setting of the common principal component model that has been widely studied when dealing with multivariate observations. We provide estimators of the common eigenfunctions and study their asymptotic behavior.

Common Functional Principal Components 1

Functional principal component analysis (FPCA) based on the Karhunen–Loève decomposition has been successfully applied in many applications, mainly for one sample problems. In this paper we consider common functional principal components for two sample problems. Our research is motivated not only by the theoretical challenge of this data situation, but also by the actual question of dynamics of...

Detecting influential observations in principal components and common principal components

Detecting outlying observations is an important step in any analysis, even when robust estimates are used. In particular, the robustified Mahalanobis distance is a natural measure of outlyingness if one focuses on ellipsoidal distributions. However, it is well known that the asymptotic chi-square approximation for the cutoff value of the Mahalanobis distance based on several robust estimates (l...