Results 71 to 80 of about 141,753 (193)
Analysis of continuous infusion functional PET (fPET) in the human brain
Functional positron emission tomography (fPET) is a neuroimaging method involving continuous infusion of 18-F-fluorodeoxyglucose (FDG) radiotracer during the course of a PET examination.
Shenpeng Li +5 more
doaj +1 more source
Plotting partial correlation and regression in ecological studies [PDF]
Multiple regression, the General linear model (GLM) and the Generalized linear model (GLZ) are widely used in ecology. The widespread use of graphs that include fitted regression lines to document patterns in simple linear regression can be easily ...
J. Moya-Laraño, G. Corcobado
doaj +1 more source
The exponential dispersion model (EDM) generated by the Landau distribution, denoted by EDM-EVF (exponential variance function), belongs to the Tweedie scale with power infinity. Its density function does not have an explicit form and, as of yet, has not been used for statistical aspects.
Shaul K. Bar-Lev +3 more
openaire +3 more sources
Background Thymus daenensis is a valuable medicinal plant known for its potent therapeutic properties. This study aimed to identify genetic loci (markers) associated with important morpho-physiological traits under both non-stress (control) and saline ...
Amirali Shayan +5 more
doaj +1 more source
Linear Models for Multivariate Repeated Measures Data [PDF]
We study the general linear model (GLM) with doubly exchangeable distributed error for m observed random variables. The doubly exchangeable linear model (DEGLM) arises when the m¡dimensional error vectors are \doubly exchangeable" (de¯ned later), jointly
Anuradha Roy
core
Whether or not biogeographic rules dealing with spatial patterns of animal body sizes are valid for ectotherms is controversial. As the ectotherms grow all their lives, we explored the role of age and annual growth rate in body size variation in ...
Wei Zhao +5 more
doaj +1 more source
Global and local distance-based generalized linear models [PDF]
This paper introduces local distance-based generalized linear models. These models extend (weighted) distance-based linear models first to the generalized linear model framework. Then, a nonparametric version of these models is proposed by means of local
Boj, Eva +4 more
core +1 more source
Using Grouped Linear Prediction and Accelerated Reinforcement Learning for Online Content Caching
Proactive caching is an effective way to alleviate peak-hour traffic congestion by prefetching popular contents at the wireless network edge. To maximize the caching efficiency requires the knowledge of content popularity profile, which however is often ...
Tao, Meixia, Zhang, Naifu, Zheng, Kaibin
core +1 more source
Spike train statistics and Gibbs distributions [PDF]
This paper is based on a lecture given in the LACONEU summer school, Valparaiso, January 2012. We introduce Gibbs distribution in a general setting, including non stationary dynamics, and present then three examples of such Gibbs distributions, in the ...
Cessac, B., Cofré, R.
core +3 more sources
GLM permutation - nonparametric inference for arbitrary general linear models [PDF]
Introduction: Permutation methods are finding growing use in neuroimag- ing data analyses (e.g. randomise in FSL, SnPM in SPM, XBAMM/BAMM/CAMBA, etc).
Nichols, T. +3 more
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