Results 21 to 30 of about 103,075 (296)
Parametric Models in Survival Analysis for Lung Cancer Patients
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
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
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.
Values of the Akaike information criterion of the first 25 models for four volunteers.
Galina Valova (12160766) +3 more
core +1 more source
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
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Evaluation of the best fit distribution for partial duration series of daily rainfall in Madinah, western Saudi Arabia [PDF]
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]
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
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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).
Milly Marston (181179) +5 more
core +1 more source
Probable Forecasting of Epidemic COVID-19 in Using COCUDE Model [PDF]
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

