Properties of the Akaike information criterion

Awad, Adnan M.

doi:10.1016/0026-2714(95)00143-3

Cited by 23 publications

(12 citation statements)

References 5 publications

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“…Modifications of the AIC which may have some advantages over the AIC, see [3] and references therein for details, were tested leading nonetheless to similar conclusions.…”

Section: Parameter Valuementioning

confidence: 85%

A model for the biochemical degradation of inosine monophosphate in hake ( Merluccius merluccius )

Vilas¹,

Alonso²,

Herrera

et al. 2017

Journal of Food Engineering

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ATP-derived products are typically used as early indicators of fish quality loss during storage. In this work, we explore different biochemical routes that are potentially relevant in contributing to nucleotide degradation in hake (Merluccius merluccius). A major motivation of this study is to get more insight on the biochemical degradation mechanisms of nucleotide catabolites in hake muscle at fish storage and transport conditions. This requires the identification of its relevant pathways. To that purpose, different degradation routes proposed in the literature are considered and a mathematical model for the degradation process is derived. First order kinetics are assumed for all the reactions and temperature dependence is taken into account through the Arrhenius equation. Unknown model parameters, namely activation energies and preexponential Arrhenius coefficients, are estimated via fitting to experimental data. From the estimation results, relevant routes are identified. The kinetic study is performed on sterile fish juice to avoid coupling with microbial degradation mechanisms or possible interferences of the food matrix that might hide biochemical interactions. The proposed scheme adequately describes biochemical changes in nucleotide catabolites under variable temperature profiles. It also reveals a pathway which at least seems relevant for nucleotide degradation in hake.

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“…Modifications of the AIC which may have some advantages over the AIC, see [3] and references therein for details, were tested leading nonetheless to similar conclusions.…”

Section: Parameter Valuementioning

confidence: 85%

A model for the biochemical degradation of inosine monophosphate in hake ( Merluccius merluccius )

Vilas¹,

Alonso²,

Herrera

et al. 2017

Journal of Food Engineering

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show abstract

“…The likelihood ratio chi-square was calculated with Cox regression to measure homogeneity; a higher likelihood ratio chi-square score indicates better homogeneity (31). We used the Akaike information criterion (AIC) within the Cox regression model to compare the performance of the 2 prognostic systems; smaller AIC values represent better optimistic prognostic stratification (32). We calculated the relative likelihood of two models using the following formula: exp {[AIC (model A) -AIC (model B)]/2}.…”

Section: Discussionmentioning

confidence: 99%

An Intraoperative Model for Predicting Survival and Deciding Therapeutic Schedules: A Comprehensive Analysis of Peritoneal Metastasis in Patients With Advanced Gastric Cancer

et al. 2020

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“…The goodness of the fits of the constant model and the linear model for eac compared with AIC (Akaike Information Criterion) method (Awad 1996)…”

Section: Determination Of Habitat-related Sr:ca Modelmentioning

confidence: 99%

Unsupervised Bayesian reconstruction of individual life histories from otolith signatures: case study of Sr:Ca transects of European eel (Anguilla anguilla) otoliths

Fablet¹,

Daverat²,

Pontual³

2007

Can. J. Fish. Aquat. Sci.

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The reconstruction of individual life histories from chemical otolith measures is stated as an unsupervised signal-processing issue embedded in a Bayesian framework. This computational methodology was applied to a set of 192 European eel (Anguilla anguilla) otoliths. It provided a robust and unsupervised analysis of the individual chronologies of habitat use (either river, estuary, or coastal) from Sr:Ca measures acquired along an otolith growth axis. Links between Sr:Ca values and habitat, age, and season and the likelihood of the transitions from one habitat type to another were modelled. Major movement characteristics such as age at transition between habitats and time spent in each habitat were estimated. As a straightforward output, an unsupervised classification of habitat use patterns showed great variability. Using a hidden Markov model, 37 patterns of habitat use were found, with 20 different patterns accounting for 90% of the sample. In accordance with literature, residence behaviour was observed (28% of the eels). However, about 72% changed habitat once or several times, mainly before age 4. The potential application of this method to any other measures taken along an otolith growth axis to reconstruct individual chronologies gives a new insight in life history tactics analysis.

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Properties of the Akaike information criterion

Cited by 23 publications

References 5 publications

A model for the biochemical degradation of inosine monophosphate in hake ( Merluccius merluccius )

A model for the biochemical degradation of inosine monophosphate in hake ( Merluccius merluccius )

An Intraoperative Model for Predicting Survival and Deciding Therapeutic Schedules: A Comprehensive Analysis of Peritoneal Metastasis in Patients With Advanced Gastric Cancer

Unsupervised Bayesian reconstruction of individual life histories from otolith signatures: case study of Sr:Ca transects of European eel (Anguilla anguilla) otoliths

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