Results 51 to 60 of about 1,274,632 (180)
Why analyze germination experiments using Generalized Linear Models?
Journal of Seed Science: We compared the goodness of fit and efficiency of models for germination. Generalized Linear Models (GLMs) were performed with a randomized component corresponding to the percentage of germination for a normal distribution or to the number of ...
Fábio Janoni Carvalho +2 more
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Sparsifying Generalized Linear Models
Proceedings of the 56th Annual ACM Symposium on Theory of ComputingWe consider the sparsification of sums $F : \mathbb{R}^n \to \mathbb{R}$ where $F(x) = f_1(\langle a_1,x\rangle) + \cdots + f_m(\langle a_m,x\rangle)$ for vectors $a_1,\ldots,a_m \in \mathbb{R}^n$ and functions $f_1,\ldots,f_m : \mathbb{R} \to \mathbb{R}_+$.
Arun Jambulapati +3 more
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, 2015 AbstractGeneralized Linear Modeling (GLM) unifies several statistical techniques, providing a stable and modular foundation on which to build a useful working knowledge of statistical modeling. GLMs enable a re-interpretation of previously learned ANOVA and regression techniques and integrate well with more advanced modeling techniques introduced in ...
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International Aquatic Research, 2016 The reliability of estimations of catches of pelagic longline fisheries is especially worrying in the case of non-target species such as the sailfish (Istiophorus platypterus) and spearfish (Tetrapturus pfluegeri), because they are often recorded ...
Renata Maria Medeiros-Silva +1 more
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Penalized estimation in large-scale generalized linear array models
, 2016 Large-scale generalized linear array models (GLAMs) can be challenging to fit. Computation and storage of its tensor product design matrix can be impossible due to time and memory constraints, and previously considered design matrix free algorithms do ...
Hansen, Niels Richard +2 more
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E-Jurnal Matematika, 2012 This study aims to determine factors that influence the number of high/vocational school students that do not pass the examination in Bali in 2011. Factors that used in this study are the external factors include the proportion of public high/vocational
KOMANG AYU YULIANINGSIH +2 more
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A Graphical User Interface to Generalized Linear Models in MATLAB
Journal of Statistical Software, 1999 Generalized linear models unite a wide variety of statistical models in a common theoretical framework. This paper discusses GLMLAB-software that enables such models to be fitted in the popular mathematical package MATLAB.
Peter Dunn
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Double-Janus linear sigma models and generalized reciprocity for Gauss sums
Journal of High Energy Physics, 2021 We study the supersymmetric partition function of a 2d linear σ-model whose target space is a torus with a complex structure that varies along one worldsheet direction and a Kähler modulus that varies along the other.
Ori J. Ganor +2 more
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Federated generalized linear mixed models for collaborative genome-wide association studies
iScience, 2023 Summary: Federated association testing is a powerful approach to conduct large-scale association studies where sites share intermediate statistics through a central server. There are, however, several standing challenges.
Wentao Li +3 more
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D-optimal Factorial Designs under Generalized Linear Models [PDF]
, 2013 Generalized linear models (GLMs) have been used widely for modelling the mean response both for discrete and continuous random variables with an emphasis on categorical response.
Mandal, Abhyuday, Yang, Jie
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