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Toplam kayıt 79, listelenen: 71-79
Modelling Right-Censored Data with Partially Linear Model and Feed Forward Neural Networks: A Methodological Study
(Türkiye klinikleri, 2022)
Objective: Modeling right-censored data becomes a challenging task in survival analysis, due to having an incomplete data structure. When the response variable is rightcensored, classical estimation methods cannot be used ...
Assessment of the effects of the biotic and abiotic harmful factors on the amount of industrial wood production with deep learning
(Springer Science and Business Media Deutschland GmbH, 2023)
The protection and sustainability of forest assets is possible with planned production of forest products to lead to minimum loss. One of the products obtained from forests is the industrial wood, which is the most important ...
Validation of a blood gas device for ionized calcium analysis in Holstein cows
(American Society for Veterinary Clinical Pathology, 2023)
Background: Accurate analysis of ionized calcium (iCa) is critical for the detection of hypocalcemia or subclinical hypocalcemia. The Edan i15 Vet (EDAN) blood gas device has not been validated for iCa in dairy cows. ...
Determining confidence interval and asymptotic distribution for parameters of multiresponse semiparametric regression model using smoothing spline estimator
(Elsevier B.V., 2023)
The multiresponse semiparametric regression (MSR) model is a regression model with more than two response variables that are mutually correlated, and its regression function is composed of parametric and nonparametric ...
Investigation of Stillbirth Rate Using Logistic Regression Analysis in Holstein Friesian Calves
(Ege Universitesi, 2023)
Logistic relationship regression of independent analysis is variable(s) amethod with to determine dependent the variable, reason-result which has binary or multiple categorical structures. In this study, sex of calf, parity ...
Clustering of football players based on performance data and aggregated clustering validity indexes
(WALTER DE GRUYTER GMBH, 2023)
We analyse football (soccer) player performance data with mixed type variables from the 2014-15 season of eight European major leagues. We cluster these data based on a tailor-made dissimilarity measure. In order to decide ...
Modeling of Tunnel Boring Machine Performance Employing Random Forest Algorithm
(Springer Science and Business Media Deutschland GmbH, 2023)
Prediction of tunnel boring machine (TBM) performance is still a challenging research subject in engineering geology, geotechnical engineering, and tunnel engineering communities. The longest railway tunnel with approximately ...
Using machine learning algorithms to identify predictors of social vulnerability in the event of a hazard: Istanbul case study
(COPERNICUS GESELLSCHAFT MBH, 2023)
What extent an individual or group will be affected by the damage of a hazard depends not just on their exposure to the event but on their social vulnerability - that is, how well they are able to anticipate, cope with, ...
Modified Local Linear Estimators in Partially Linear Additive Models with Right-Censored Data Based on Different Censorship Solution Techniques
(MDPI, 2023)
This paper introduces a modified local linear estimator (LLR) for partially linear additive models (PLAM) when the response variable is subject to random right-censoring. In the case of modeling right-censored data, PLAM ...