Results 41 to 50 of about 44,560 (263)

Sample- and segment-size specific Model Selection in Mixture Regression Analysis [PDF]

open access: yes, 2006
As mixture regression models increasingly receive attention from both theory and practice, the question of selecting the correct number of segments gains urgency.
Sarstedt, Marko
core   +2 more sources

Comparison of non-linear models to describe the growth in the Andalusian turkey breed

open access: yesItalian Journal of Animal Science, 2021
Seven non-linear growth models were compared in the Andalusian turkey, an endangered native breed. To this aim, turkeys were weekly weighted until they reached 35 weeks.
A. Arando   +7 more
doaj   +1 more source

Elbow plot to identify optimal number of clusters in latent class analysis using BIC and AIC.

open access: yes, 2022
AIC, Akaike information criteria; BIC, Bayesian information criteria. (DOCX)
Richard C. Trembath (7633334)   +12 more
core   +1 more source

Multimodal Data‐Driven Microstructure Characterization

open access: yesAdvanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang   +4 more
wiley   +1 more source

Results of the generalized linear mixed models presented with Odds Ratios (OR), p-values (p-val), Akaike Information Criteria (AIC) and Bayesian Information Criteria (BIC).

open access: yes, 2016
Results of the generalized linear mixed models presented with Odds Ratios (OR), p-values (p-val), Akaike Information Criteria (AIC) and Bayesian Information Criteria (BIC).
Eva Grill (15316)   +6 more
core   +1 more source

Next‐Generation Water Treatment With Molybdenum Disulfide: Dual‐Functionality in Pollutant Adsorption and Photocatalysis

open access: yesAdvanced Materials Technologies, EarlyView.
ABSTRACT Molybdenum disulfide (MoS2) has attracted attention as a promising material due to the growing demand for environmentally friendly, cost‐effective, and efficient water treatment techniques. With its physicochemical characteristics, this stratified bidimensional material allows it to be highly effective in adsorption and catalytic performance ...
Pariksha Bishnoi   +4 more
wiley   +1 more source

Akaike information criteria (AIC) for multivariate regression and multiple linear regression models adjusted to different amino acids.

open access: yes, 2018
Akaike information criteria (AIC) for multivariate regression and multiple linear regression models adjusted to different amino acids.
Izabelle A. M. A. Teixeira (6079295)   +4 more
core   +1 more source

On the Comparison of Akaike Information Criterion and Consistent Akaike Information Criterion in Selection of an Asymmetric Price Relationship: Bootstrap Simulation Results [PDF]

open access: yes, 2017
Akaike’s Information Criteria provide a basis for choosing between competing approaches to testing for price asymmetry. However, very little research has been undertaken to understand its performance in the price transmission modelling context.
Acquah, H. de-Graft
core   +1 more source

Functional Mapping of Neurodevelopmental Disease Pathways to Key Neurodevelopmental Processes Represented in the Developmental Neurotoxicity In Vitro Testing Battery

open access: yesAdvanced Science, EarlyView.
Human‐relevant methods are essential for modern chemical safety assessment. This study helps define the capabilities and boundaries of an in vitro testing battery for developmental neurotoxicity by exploring its biological applicability domain. By linking neurodevelopmental disease‐related pathways to key neurodevelopmental processes, the work enhances
Eliska Kuchovska   +14 more
wiley   +1 more source

Model selection criteria and quadratic discrimination in ARMA and SETAR time series models [PDF]

open access: yes, 2004
We show that analyzing model selection in ARMA time series models as a quadratic discrimination problem provides a unifying approach for deriving model selection criteria.
Peña, Daniel, Galeano, Pedro
core  

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