Using Akaike's information theoretic criterion in mixed-effects modeling of pharmacokinetic data: a simulation study [version 3; referees: 2 approved, 1 approved with reservations] [PDF]
F1000Research, 2015 Akaike's information theoretic criterion for model discrimination (AIC) is often stated to "overfit", i.e., it selects models with a higher dimension than the dimension of the model that generated the data. However, with experimental pharmacokinetic data
Erik Olofsen, Albert Dahan
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Akaike's information criterion (AIC) and Bayesian information criterion (BIC) values for different sets of models including the socioeconomic variables. [PDF]
, 2020 Akaike's information criterion (AIC) and Bayesian information criterion (BIC) values for different sets of models including the socioeconomic variables.
Jenni Blomgren (6692597) +1 more
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A matched-filter technique with an objective threshold
Scientific Reports, 2022 We propose an objective threshold determination method for detecting outliers from the empirical distribution of cross-correlation coefficients among seismic waveforms.
Shiro Hirano +2 more
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Axioms, 2023 Fires in buildings are significant public safety hazards and can result in fatalities and substantial financial losses. Studies have shown that the socioeconomic makeup of a region can impact the occurrence of building fires.
Albertus Untadi +3 more
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Chanter model: nonlinear modeling of the fruit growth of cocoa [PDF]
Ciência Rural: The growth of plants and animals can be described through a growth curve. This curve is given by the equation of a nonlinear model, such as the Logistic model and the Gompertz model. The objective of this study was to adjust the Chanter model, as well
Pollyane Vieira da Silva +1 more
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Statistical modeling of annual maximum precipitation in Oued El Gourzi Watershed, Algeria
Applied Water Science, 2020 This study aims to model annual maximum precipitation based on extreme value theory for the Oued El Gourzi Watershed, Algeria. A generalized extreme value (GEV) distribution was used to determine the probability distribution of extreme values and their ...
Nassim Bella, Hadda Dridi, Mahdi Kalla
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Akaike's information criterion for a measure of linkage disequilibrium [PDF]
Journal of Human Genetics, 2002 The extent and distribution of linkage disequilibrium ( LD) in humans is a current topic especially for gene mapping of complex diseases. Akaike's information criterion ( AIC) was applied to estimate LD and compared with other standard LD measures, D' and r(2).
Kazuki, Shimo-onoda +11 more
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Genetics and Molecular Biology, 2011 Milk yield records (305d, 2X, actual milk yield) of 123,639 registered first lactation Holstein cows were used to compare linear regression (y = β0 + β1X + e) ,quadratic regression, (y = β0 + β1X + β2X2 + e) cubic regression (y =
Makram J. Geha +2 more
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Word2vec Skip-Gram Dimensionality Selection via Sequential Normalized Maximum Likelihood
Entropy, 2021 In this paper, we propose a novel information criteria-based approach to select the dimensionality of the word2vec Skip-gram (SG). From the perspective of the probability theory, SG is considered as an implicit probability distribution estimation under ...
Pham Thuc Hung, Kenji Yamanishi
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Akaike's Information Criterion (AICM) values and tMRCA of the CV cluster for three demographic models. [PDF]
, 2017 Akaike's Information Criterion (AICM) values and tMRCA of the CV cluster for three demographic models.
María José Galindo (3210978) +9 more
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