Results 31 to 40 of about 103,075 (296)

Improved Treatment of the Independent Variables for the Deployment of Model Selection Criteria in the Analysis of Complex Systems

Entropy, 2021
Model selection criteria are widely used to identify the model that best represents the data among a set of potential candidates. Amidst the different model selection criteria, the Bayesian information criterion (BIC) and the Akaike information criterion
Luca Spolladore, Michela Gelfusa, Riccardo Rossi, Andrea Murari   +3 more
doaj   +1 more source

A bootstrap approach to evaluating the performance of Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) in selection of an asymmetric price relationship [PDF]

Journal of Agricultural Sciences (Belgrade), 2012
This study addresses the problem of model selection in asymmetric price transmission models by combining the use of bootstrap methods with information theoretic selection criteria.
Acquah Henry de-Graft
doaj   +1 more source

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, Toshihiro, Tanaka, Kozo, Furushima, Toshiaki, Nakajima, Satoshi, Toh, Seiko, Harata, Kazunori, Yone, Setsuro, Komiya, Hiroki, Adachi, Eiji, Nakamura, Hitoshi, Fujimiya, Ituro, Inoue   +11 more
openaire   +2 more sources

On a Generalized Burr Life-Testing Model: Characterization, Reliability, Simulation, and Akaike Information Criterion

Journal of Statistical Theory and Applications (JSTA), 2019
For a continuous random variable X, M. Shakil, B.M.G. Kibria, J. Stat. Theory Appl. 9 (2010), 255–282, introduced a generalized Burr increasing, decreasing, and upside-down bathtub failure rate life-testing model.
M. Ahsanullah, M. Shakil, B. M. Golam Kibria, M. Elgarhy   +3 more
doaj   +1 more source

A Note On the Unification of the Akaike Information Criterion

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1998
Summary To measure the distance between a robust function evaluated under the true regression model and under a fitted model, we propose generalized Kullback–Leibler information. Using this generalization we have developed three robust model selection criteria, AICR*, AICCR* and AICCR, that allow the selection of candidate models that ...
Shi, Peide, Tsai, Chih-Ling
openaire   +1 more source

Calculated values of the Akaike information criterion (AIC) and Bayesian information criterion (BIC) in each risk scoring model.

, 2023
Calculated values of the Akaike information criterion (AIC) and Bayesian information criterion (BIC) in each risk scoring model.
Farhad Pishgar (4066207), Ali Ghanbari (10281632), Hedyeh Ebrahimi (7321358), Amirhossein Takian (6528590), Masoud Masinaei (11469598), Naser Ahmadi (7581317), Nazila Rezaei (6208433), Zahra Aryan (808424), Arya Aminorroaya (9307481), Yasna Rostam-Abadi (11355888), Sahar Saeedi Moghaddam (8294337), Farshad Farzadfar (439490), Parinaz Mehdipour (7581320)   +12 more
core   +1 more source

Variable selection in generalized random coefficient autoregressive models

Journal of Inequalities and Applications, 2018
In this paper, we consider the variable selection problem of the generalized random coefficient autoregressive model (GRCA). Instead of parametric likelihood, we use non-parametric empirical likelihood in the information theoretic approach. We propose an
Zhiwen Zhao, Yangping Liu, Cuixin Peng
doaj   +1 more source

Linear and non-linear regression model fitting of testicular three-dimensional growth in Miranda donkeys

Italian Journal of Animal Science, 2021
In endangered donkey populations, reproductive performance is one the most important areas to study, provided its connection with conservation opportunities.
Ana Martins-Bessa, Miguel Quaresma, Belén Leiva, Ana Calado, Ander Arando, Carmen Marín, Francisco Javier Navas   +6 more
doaj   +1 more source

The Akaike Information Criterion Will Not Choose the No Common Mechanism Model [PDF]

Systematic Biology, 2010
This is an electronic version of an article published in Systematic Biology [Holder, Mark T., Paul O. Lewis, and David L. Swofford. The Akaike information criterion will not choose the no common mechanism model. Systematic Biology, 59(4):477{485, 2010. ] Systematic Biology is available online at informaworld http://dx.doi.org/10.1093/sysbio/syq028.
Holder, Mark T., Lewis, Paul O., Swofford, David L.   +2 more
openaire   +3 more sources

Using Akaike Information Criterion to Select the Optimal Isotherm Equation for Adsorption from Solution

Adsorption Science & Technology, 2014
In this study, we measured the adsorption of Basic Blue 41 (BB41) dye on a maize cob adsorbent and on two model adsorbents (cellulose triacetate and cellulose acetate propionate).
Martín M. Dávila-Jiménez, María P. Elizalde-González, Esmeralda García-Díaz, Mario González-Perea, María R.G. Guevara-Villa   +4 more
doaj   +1 more source