General Linear Modeling of Magnetoencephalography Data

2014 ◽  
pp. 105-132
Keyword(s):  
General Linear ◽  
Linear Modeling

General Linear Modeling of Magnetoencephalography Data

2012 ◽  
pp. 4-1-4-28 ◽  
Author(s):  
Dimitrios Pantazis ◽  
Juan Luis Poletti Soto ◽  
Richard M. Leahy
Keyword(s):  
General Linear ◽  
Linear Modeling

Fuzzy General Linear Modeling for Functional Magnetic Resonance Imaging Analysis

2020 ◽  
Vol 28 (1) ◽  
pp. 100-111 ◽  
Author(s):  
Alejandro Veloz ◽  
Claudio Moraga ◽  
Alejandro Weinstein ◽  
Luis Hernandez-Garcia ◽  
Steren Chabert ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Functional Magnetic Resonance Imaging ◽  
General Linear ◽  
Imaging Analysis ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Linear Modeling ◽  
Magnetic Resonance Imaging Analysis

scholarly journals Systems Analysis of Seed Filling in Arabidopsis: Using General Linear Modeling to Assess Concordance of Transcript and Protein Expression

2010 ◽  
Vol 152 (4) ◽  
pp. 2078-2087 ◽  
Author(s):  
Martin Hajduch ◽  
Leonard B. Hearne ◽  
Jan A. Miernyk ◽  
Jill E. Casteel ◽  
Trupti Joshi ◽  
...  
Keyword(s):  
Protein Expression ◽  
Systems Analysis ◽  
General Linear ◽  
Linear Modeling ◽  
Seed Filling

Exploring the Trajectory of Active-Sport-Event Travel Careers: A Social Worlds Perspective

2016 ◽  
Vol 30 (3) ◽  
pp. 265-281 ◽  
Author(s):  
Richard J. Buning ◽  
Heather J. Gibson
Keyword(s):  
Travel Behavior ◽  
Quantitative Methods ◽  
Career Progression ◽  
General Linear ◽  
Event Management ◽  
Social Worlds ◽  
Linear Modeling ◽  
Sport Event ◽  
Cycling Event ◽  
Active Sport

Utilizing a social worlds perspective, the study examined active-sport-event travel career progression in the sport of cycling. Event travel careers are considered potentially lifelong patterns of travel to participate in events that evolve through stages with distinct behaviors and motivations. Quantitative methods were used to test tenets of an inductively derived model of the active-sport-event travel career for cyclists. An international sample of cyclists were surveyed online; N = 1,452 responded. Using general linear modeling, the results depicted an escalation in motivation related to intellectual, social, mastery competence, giving back, and competition against others with career progression. However, while travel behavior related to preferred events characteristics changed with career progression, preferred characteristics related to destinations and travel style remained relatively stagnant. Implications for destination and event management are discussed.

scholarly journals Using Statistical Models For Market Selection

2011 ◽  
Vol 2 (2) ◽  
pp. 110
Author(s):  
Kenneth M. Johnson
Keyword(s):  
Statistical Models ◽  
Selection Process ◽  
Statistical Technique ◽  
Complex Problem ◽  
General Linear ◽  
Linear Modeling ◽  
Market Selection ◽  
New Markets ◽  
Corporate Development ◽  
Large Pool

Managers responsible for corporate development in growing firms are often called upon to identify promising new markets. Selecting such markets is a complex problem requiring the simultaneous consideration of many demographic, economic, business and competitive factors (Craig, et al, 1984). The need to examine a large pool of possible markets in order to identify those with the greatest potential further complicates the selection process. This article provides an overview of a statistical technique known as general linear modeling and explains how it can be successfully applied to the task of selecting markets.

scholarly journals Max margin general linear modeling for neuroimage analyses

2012 ◽  
Author(s):  
Nagesh Adluru ◽  
Chad M. Ennis ◽  
Richard J. Davidson ◽  
Andrew L. Alexander
Keyword(s):  
General Linear ◽  
Linear Modeling

scholarly journals A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis

2019 ◽  
Vol 115 (530) ◽  
pp. 501-520 ◽  
Author(s):  
Amanda F. Mejia ◽  
Yu (Ryan) Yue ◽  
David Bolin ◽  
Finn Lindgren ◽  
Martin A. Lindquist
Keyword(s):  
Data Analysis ◽  
Fmri Data ◽  
General Linear ◽  
Cortical Surface ◽  
Linear Modeling ◽  
Modeling Approach ◽  
Fmri Data Analysis
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