In this chapter, we introduce general linear models (GLM) that have been widely used in brain imaging applications. The GLM is a very flexible and general statistical framework encompassing a wide variety of fixed effect models such as the multiple regressions, the analysis of variance (ANOVA), the multivariate analysis of variance (MANOVA), the analysis of covariance (ANCOVA) and the multivari...

in dea to obtain an efficient representation in ccr andbcc models for each dmu only one linear plan would be solved; however,it is possible in centralized resource allocation (cra) to solve allthe dmus by one linear planning. in this paper, models of centralizedresource allocation in input-oriented and in dynamic case will be offeredand by using dynamic sbm, the representation of dmus in each t...

A day in the life of a person involves a broad range of activities which are common across many people. Going beyond diurnal cycles, a central question is: to what extent do individuals act according to patterns shared across an entire population? Here we investigate the interplay between different activity types, namely communication, motion, and physical proximity by analyzing data collected ...