Results 21 to 30 of about 103,075 (296)

Parametric Models in Survival Analysis for Lung Cancer Patients

open access: yesIbn Al-Haitham Journal for Pure and Applied Sciences, 2021
The aim of this study is to estimate the survival function for the data of lung cancer patients, using parametric methods (Weibull, Gumbel, exponential and log-logistic).
Layla A. Ahmed
doaj   +1 more source

Unified Univariate-Neural Network Models for Lithium-Ion Battery State-of-Charge Forecasting Using Minimized Akaike Information Criterion Algorithm

open access: yesIEEE Access, 2021
Lithium-Ion batteries require step-ahead information to apply contingency plans to prevent them from operating beyond their safe operation thresholds in grid storage and electric vehicle applications.
Asadullah Khalid, Arif I. Sarwat
doaj   +1 more source

Model selection in multivariate adaptive regressions splines (MARS) using alternative information criteria

open access: yesHeliyon, 2023
Multivariate Adaptive Regression Splines (MARS) is a useful non-parametric regression analysis method that can be used for model selection in high-dimensional data. Since MARS can identify and model complex, non-linear relationships between the dependent
Meryem Bekar Adiguzel, Mehmet Ali Cengiz
doaj   +1 more source

Values of the Akaike information criterion.

open access: yes, 2022
Values of the Akaike information criterion of the first 25 models for four volunteers.
Galina Valova (12160766)   +3 more
core   +1 more source

Noise Suppression of Microseismic Signals via Adaptive Variational Mode Decomposition and Akaike Information Criterion

open access: yesApplied Sciences, 2020
Microseismic (MS) signals recorded by sensors are often mixed with various noise, which produce some interference to the further analysis of the collected data.
Jinyong Zhang, Linlu Dong, Nuwen Xu
doaj   +1 more source

Evaluation of the best fit distribution for partial duration series of daily rainfall in Madinah, western Saudi Arabia [PDF]

open access: yesProceedings of the International Association of Hydrological Sciences, 2014
Rainfall frequency analysis is an essential tool for the design of water related infrastructure. It can be used to predict future flood magnitudes for a given magnitude and frequency of extreme rainfall events.
F. Alahmadi   +4 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

Bayesian information criterion (BIC) and Akaike information criterion (AIC) for selection of models (Step 1).

open access: yes, 2023
Bayesian information criterion (BIC) and Akaike information criterion (AIC) for selection of models (Step 1).
Mathieu Pelletier-Dumas (14025315)   +8 more
core   +1 more source

Comparison of fitness of models based on Akaike information criterion (AIC) and Bayesian Information Criterion (BIC).

open access: yes, 2023
Comparison of fitness of models based on Akaike information criterion (AIC) and Bayesian Information Criterion (BIC).
Milly Marston (181179)   +5 more
core   +1 more source

Probable Forecasting of Epidemic COVID-19 in Using COCUDE Model [PDF]

open access: yesEAI Endorsed Transactions on Pervasive Health and Technology, 2021
INTRODUCTION: The world has been struck due to the dangerous human threat called Corona Virus Disease 2019. This research work proposes a methodology to encounter the future infection rate, curing rate, and decease rate.
Prasannavenkatesan Theerthagiri
doaj   +1 more source

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