Results 11 to 20 of about 44,560 (263)

Model selection and Akaike Information Criteria: An example from wine ratings and prices

open access: yesWine Economics and Policy, 2014
The effect of wine ratings on pricing has been a question for wine consumers for some time. Ultimately, wine preference, and thus how one judges a wine, is a subjective endeavor.
Michael Snipes, D. Christopher Taylor
doaj   +2 more sources

Multiple regression analysis models classified based on importance via Akaike Information Criteria (AIC).

open access: yes, 2023
Multiple regression analysis models classified based on importance via Akaike Information Criteria (AIC).
Laura A. Brandt (14154888)   +5 more
core   +1 more source

Equal-weighted information criterion for model selection in univariate time series analysis

open access: yesTropical Agricultural Research, 2015
In model building, the model with appropriate number of parameters needs to be identified. Thus, a variety of information criteria have already been developed, each with a different background to handle this challenge.
S. Ankrah, B.L. Peiris, R.O. Thattil
doaj   +1 more source

False Discovery Rate (FDR) and Familywise Error Rate (FER) Rules for Model Selection in Signal Processing Applications

open access: yesIEEE Open Journal of Signal Processing, 2022
Model selection is an omnipresent problem in signal processing applications. The Akaike information criterion (AIC) and the Bayesian information criterion (BIC) are the most commonly used solutions to this problem.
Petre Stoica, Prabhu Babu
doaj   +1 more source

Model Selection Procedures in Bounds Test of Cointegration: Theoretical Comparison and Empirical Evidence

open access: yesEconomies, 2020
Only unstructured single-path model selection techniques, i.e., Information Criteria, are used by Bounds test of cointegration for model selection.
Waqar Badshah, Mehmet Bulut
doaj   +1 more source

Particle Size Distribution Models for Metallurgical Coke Grinding Products

open access: yesMetals, 2021
Six different particle size distribution (Gates–Gaudin–Schuhmann (GGS), Rosin–Rammler (RR), Lognormal, Normal, Gamma, and Swebrec) models were compared under different metallurgical coke grinding conditions (ball size and grinding time).
Laura Colorado-Arango   +2 more
doaj   +1 more source

On the Use of Entropy to Improve Model Selection Criteria

open access: yesEntropy, 2019
The most widely used forms of model selection criteria, the Bayesian Information Criterion (BIC) and the Akaike Information Criterion (AIC), are expressed in terms of synthetic indicators of the residual distribution: the variance and the mean-squared ...
Andrea Murari   +4 more
doaj   +1 more source

Exploration and Development of a Simpler Respiratory Distress Observation Scale (modRDOS-4) as a Dyspnea Screening Tool: A Prospective Bedside Study

open access: yesPalliative Medicine Reports, 2021
Introduction: End-of-life patients face difficulties in reporting respiratory distress. The Respiratory Distress Observation Scale (RDOS) is a well-known tool; however, field implementation has been challenging from ground feedback.
Ru Xin Wong   +5 more
doaj   +1 more source

AIC and BIC for cosmological interacting scenarios

open access: yesEuropean Physical Journal C: Particles and Fields, 2017
In this work we study linear and nonlinear cosmological interactions, which depend on dark matter and dark energy densities in the framework of general relativity.
Fabiola Arevalo   +2 more
doaj   +1 more source

Modeling crude oil price volatility in Nigeria: using GARCH (1,1), EGARCH (1,1), and GJR-GARCH (1,1) models [PDF]

open access: yesمجلة العلوم التجارية والبيئية
This study investigates the performance of various GARCH models for volatility forecasting, focusing on the GARCH (1,1), EGARCH (1,1), and GJR-GARCH (1,1) frameworks, each tested with normal and Student’s t-distributions.
Frederick A. Omoruyi   +2 more
doaj   +1 more source

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