Results 41 to 50 of about 9,108 (291)

Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions [PDF]

open access: yes
model selection, Akaike's information criterion, AIC, CAIC, CAICF, asymptotic properties,
Hamparsum Bozdogan
core   +1 more source

Akaike's Information Criterion cumulative model weights (), multiple linear regression coefficients , and standard errors for body condition predictor variables for adult female mule deer. [PDF]

open access: yes, 2014
Data were collected in southwest Colorado during early March, 2007–2009. A balanced model set was used such that all response variables appeared in an equal number of models, thus cumulative model weights >0.5 are attributed to variables that are most ...
Chad J. Bishop (624994)   +4 more
core   +1 more source

The impact of the pandemic on the retail industry sales in South Africa: A Box-Jenkins approach [PDF]

open access: yesITM Web of Conferences
The objective of this study is to investigate the long-term impact of the COVID-19 pandemic on the South African retail industry sales using the seasonal autoregressive moving average (SARIMA) from the time series analysis tool pack called Box-Jenkins ...
Masena Thabiso Ernest   +1 more
doaj   +1 more source

Multiple Sclerosis Relapse Activity After Ozanimod Discontinuation in DAYBREAK Trial Participants

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
Multiple Sclerosis Relapse Activity After Ozanimod Discontinuation in DAYBREAK Trial Participants. ABSTRACT Objective Return of disease activity is expected when patients discontinue disease‐modifying therapy (DMT) for multiple sclerosis (MS). Some MS DMTs are associated with higher‐than‐expected disease activity (rebound) after discontinuation.
Ralf Gold   +12 more
wiley   +1 more source

Selection of variables in two-group discriminant analysis by error rate and Akaike's information criteria [PDF]

open access: yes, 1985
This paper deals with two criteria for selection of variables for the discriminant analysis in the case of two multivariate normal populations with different means and a common covariance matrix.
Fujikoshi, Yasunori
core   +1 more source

Performance comparison of model selection criteria by generated experimental data

open access: yesITM Web of Conferences, 2018
In Bioinformatics and other areas the model selection is a process of choosing a model from set of candidate models of different classes which will provide the best balance between goodness of fitting of the data and complexity of the model.
Mavrevski Radoslav   +3 more
doaj   +1 more source

Survival Models Including Excess Hazard Model and Multilevel Excess Hazard Model with Application [PDF]

open access: yesThe Egyptian Statistical Journal
This paper presents a comprehensive analysis of procedures for the excess hazard model. A common issue with hazard models is estimating the overall hazard rather than the excess hazard, leading to inaccurate parameter estimates.
Doaa A. Abdo   +2 more
doaj   +1 more source

Model selection with multiple regression on distance matrices leads to incorrect inferences. [PDF]

open access: yesPLoS ONE, 2017
In landscape genetics, model selection procedures based on Information Theoretic and Bayesian principles have been used with multiple regression on distance matrices (MRM) to test the relationship between multiple vectors of pairwise genetic, geographic,
Ryan P Franckowiak   +6 more
doaj   +1 more source

Acute Kidney Injury After Mechanical Thrombectomy for Stroke in Patients With Pre‐Existing Renal Impairment

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Acute kidney injury (AKI) is a common but often underrecognized complication in ischemic stroke patients undergoing mechanical thrombectomy, particularly among those with pre‐existing renal impairment. This study evaluated the incidence, risk factors, and clinical impact of AKI in this high‐risk population.
Michał Borończyk   +10 more
wiley   +1 more source

Akaike's Information Criterion (AIC) Untuk Seleksi Optimal Pada Model Neural Network = Akaike's Information Criterion ( AIC) For The Selection Optimal Of Model Neural Network [PDF]

open access: yes, 2006
During the last twenty years, Akaike's Information Criterion (AIC) has had a fundamental impact in statistical model evaluation problems. This paper studies the general theory of the Akaike's Information Criterion (AIC) to determine the optimal ...
Perpustakaan UGM, i-lib
core  

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