In brain mapping studies of sensory, cognitive, and motor operations, specific waveforms of dynamic neural activity are predicted based on theoretical models of human information processing. For example in event-related functional MRI (fMRI), the general linear model (GLM) is employed in mass-univariate analyses to identify the regions whose dynamic activity closely matches the expected wavefor...

The generalized estimating equation (GEE) approach is a widely used statistical method in the analysis of longitudinal data in clinical and epidemiological studies. It is an extension of the generalized linear model (GLM) method to correlated data such that valid standard errors of the parameter estimates can be drawn. Unlike the GLM method, which is based on the maximum likelihood theory for i...

Bactrocera oleae (Rossi, 1790) (Diptera: Tephritidae) is the most dangerous insect pest of olive tree in Mediterranean region. This study was conducted Mascara region (North-West Algeria) during 2019-2020 season, order to monitoring flight activity B. by using Mc Phail type traps and evaluating infestation rate on two varieties (Sigoise Chemlal) fruits sampling. The data obtained indicated that...

This paper gives both general linear model (GLM) and support vector machine (SVM) analyses of an experiment concerned with tonality in music. The two forms of analysis are both contrasted and used to complement each other, and a new technique employing the GLM as a pre-processing step for the SVM is presented. The SVM is given the task of classifying the stimulus conditions (tonal or atonal) on...

OBJECTIVE Clinical response to the atypical antipsychotic paliperidone is known to vary among schizophrenic patients. We carried out a genome-wide association study to identify common genetic variants predictive of paliperidone efficacy. METHODS We leveraged a collection of 1390 samples from individuals of European ancestry enrolled in 12 clinical studies investigating the efficacy of the ext...

Functional Magnetic Resonance Imaging (fMRI) using Blood Oxygen Level Dependent (BOLD) contrast is an established method for making inferences about regionally specific activations in the human brain [7]. From measurements of changes in blood oxygenation one can use various statistical models, such as the General Linear Model (GLM) [8], to make inferences about task-specific changes in underlyi...

D-optimality is one of the most commonly used design criteria for linear regression models. In industrial experiments binary or count data often arise, for example defective/nondefective or number of defects. For such data Generalized Linear Models (GLMs) are appropriate. An analogous D-optimality design criterion can be developed using the asymptotic covariance matrix. For GLMs, this matrix is...

the objective of this study was to determine the polymorphism of bovine β-lactoglobulin (β-lg) gene and its association with milk production traits in iranian najdi cattle. blood samples were collected from 80 najdi cattle from the najdi cattle breeding station located in shoshtar, khuzestan. polymerase chain reaction (pcr) and restriction fragment length polymorphism (rflp) techniqus were used...

We describe a Gauss decomposition for the Yangian Y (glm|n) of the general linear Lie superalgebra. This gives a connection between this Yangian and the Yangian of the classical Lie superalgebra Y (A(m− 1, n− 1)) (with m 6= n) defined and studied in papers by Stukopin, and suggests natural definitions for the Yangians Y (sln|n) and Y (A(n, n)). We also show that the coefficients of the quantum ...

Lakes, Australia (e-mail: [email protected]; fax: +61 8 8302 5344). Abstract—A controller design technique for shaping the frequency response of a process is described. A general linear model (GLM) is used to define the form of a lag or lead compensator in discrete time using a prescribed set of basis functions. The model is then transformed via the complex z-domain into a difference eq...