Results 11 to 20 of about 26,321,511 (299)
Permutation inference for the general linear model. [PDF]
Neuroimage, 2014 Permutation methods can provide exact control of false positives and allow the use of non-standard statistics, making only weak assumptions about the data.
Winkler AM +4 more
europepmc +2 more sources
Variational Bayesian Parameter Estimation Techniques for the General Linear Model [PDF]
Frontiers in Neuroscience, 2017 Variational Bayes (VB), variational maximum likelihood (VML), restricted maximum likelihood (ReML), and maximum likelihood (ML) are cornerstone parametric statistical estimation techniques in the analysis of functional neuroimaging data.
Ludger Starke +3 more
doaj +2 more sources
Parametric Statistics and the General Linear Model [PDF]
Spreadsheets in Education, 2014 Too many students acquire statistical knowledge and techniques independent of each other. The purpose of this paper is to illustrate the many connections mathematically between parametric statistics and the General Linear Model.
John A Rochowicz Jr
doaj +3 more sources
Current Status and Issues Regarding Pre-processing of fNIRS Neuroimaging Data: An Investigation of Diverse Signal Filtering Methods Within a General Linear Model Framework [PDF]
Frontiers in Human Neuroscience, 2019 Functional near-infrared spectroscopy (fNIRS) research articles show a large heterogeneity in the analysis approaches and pre-processing procedures. Additionally, there is often a lack of a complete description of the methods applied, necessary for study
Paola Pinti +5 more
doaj +2 more sources
The General Linear Model and the Generalized Singular Value Decomposition [PDF]
, 2009 The general linear model with correlated error variables can be transformed by means of the generalized singular value decomposition to a very simple model (canonical form) where the least squares solution is obvious.
Knüsel, Leo
core +1 more source
The General Linear Model and the Generalized Singular Value Decomposition; Some Examples [PDF]
, 2009 The general linear model with correlated error variables can be transformed by means of the generalized singular value decomposition to a very simple model (canonical form) where the least squares solution is obvious.
Knüsel, Leo
core +1 more source
Annals of Forest Research, 2018 Association between 276 AFLP loci and wood density of 46 teak (Tectona grandis L. f.) genotypes was evaluated, confirming the genetic structure among the genotypes and significant (p < 0.01) linkage disequilibrium between 9.4% loci-pair.
Vivek Vaishnav +4 more
doaj +1 more source
Dynamics of Oddball Sound Processing: Trial-by-Trial Modeling of ECoG Signals
Frontiers in Human Neuroscience, 2022 Recent computational models of perception conceptualize auditory oddball responses as signatures of a (Bayesian) learning process, in line with the influential view of the mismatch negativity (MMN) as a prediction error signal.
Françoise Lecaignard +11 more
doaj +1 more source
Journal of the Royal Statistical Society. Series A (General), 1972 The technique of iterative weighted linear regression can be used to obtain maximum likelihood estimates of the parameters with observations distributed according to some exponential family and systematic effects that can be made linear by a suitable transformation.
Nelder, J. A., Wedderburn, R. W. M.
openaire +1 more source
, 1980 43 pages, 1 article*The General Linear Model* (Searle, S.
Searle, S. R. +3 more
core +6 more sources