Results 1 to 10 of about 58,672 (256)
Food and Environment Safety, 2022 This study aimed at assessing the effect of packaging materials and preservatives on nutrient composition of fish was carried out using 864 live Clarias gariepinus with an average weight of 226g acquired from an earthen pond of a fish farm in Omi-Adio ...
Ahmed Ayodeji AYELOJA +1 more
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Evaluating of the Effect Parameter in a Bank Budgetary via General Linear Model (GLM) [PDF]
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2010 In this paper the budgeting procedures of a hypothetical bank to enter market and investing activities have been studied on the basis of the three factors; inflation rate, liquidity rate and GDP (Growth Domestic Products) employing General Linear Model ...
Mohammad Tasharofi
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Geomatics, Natural Hazards and Risk, 2023 AbstractIn this study, the generalized linear model (GLM) and four ensemble methods (partial least squares (PLS), boosting, bagging, and Bayesian) were applied to predict forest fire hazard in the Chalus Rood watershed in the Mazandaran Province, Iran. Data from 108 historical forest fire events collected through field surveys were applied as the basis
Janizadeh, Saeid +6 more
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Bagging GLM: Improved generalized linear model for the analysis of zero-inflated data
Ecological Informatics, 2011 Abstract Species-occurrence data sets tend to contain a large proportion of zero values, i.e., absence values (zero-inflated). Statistical inference using such data sets is likely to be inefficient or lead to incorrect conclusions unless the data are treated carefully. In this study, we propose a new modeling method to overcome the problems caused by
Takeshi Osawa +3 more
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Statistical Analysis of fMRI Time-Series: A Critical Review of the GLM Approach
Frontiers in Human Neuroscience, 2011 Functional Magnetic Resonance Imaging (fMRI) is one of the most widely used tools to study the neural underpinnings of human cognition. Standard analysis of fMRI data relies on a General Linear Model (GLM) approach to separate stimulus induced signals ...
Martin M Monti
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MathematicsThe 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
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Enhanced design matrix for task-related fMRI data analysis
NeuroImage, 2021 In this paper, we introduce a novel methodology for the analysis of task-related fMRI data. In particular, we propose an alternative way for constructing the design matrix, based on the newly suggested Information-Assisted Dictionary Learning (IADL ...
Manuel Morante +4 more
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On Constrained Principal Component (CPCA) with Application on Bootstrap [PDF]
The Egyptian Statistical Journal, 2018 Linear model (LM) provide the advance in regression analysis, where it was consideres an important development of the last 45 years, following general linear model (GLM), principal component analysis (PCA) and constrained principal component analysis ...
Alaa Abd Elmegaly, Salah Mohamed
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Health Science Reports, 2021 Introduction Transcranial Doppler (TCD) is a method used to study cerebral hemodynamics. In the majority of TCD studies, regression analysis and analysis of variance are the most frequently applied statistical methods.
Stephan T. Egger +4 more
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Children, 2023 General linear modeling (GLM) has been widely employed to estimate the hemodynamic changes observed by functional near infrared spectroscopy (fNIRS) technology, which are found to be nonlinear rather than linear, however.
Dandan Wu +5 more
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