Results 11 to 20 of about 44,560 (263)
Model selection and Akaike Information Criteria: An example from wine ratings and prices
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
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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
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
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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
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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
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Particle Size Distribution Models for Metallurgical Coke Grinding Products
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
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On the Use of Entropy to Improve Model Selection Criteria
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
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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
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AIC and BIC for cosmological interacting scenarios
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
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Modeling crude oil price volatility in Nigeria: using GARCH (1,1), EGARCH (1,1), and GJR-GARCH (1,1) models [PDF]
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

