Results 31 to 40 of about 2,665,481 (259)
Analysis of Fluid Velocity inside an Agricultural Sprayer Using Generalized Linear Mixed Models
Applied Sciences, 2020 The fluid velocity inside the tank of agricultural sprayers is an indicator of the quality of the mixture. This study aims to formulate the best generalized linear mixed model to infer the fluid velocity inside a tank under specific operational ...
Ángel Javier Aguirre +6 more
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Summertime response of ozone and fine particulate matter to mixing layer meteorology over the North China Plain [PDF]
Atmospheric Chemistry and Physics, 2023 Measurements of surface ozone (O3), PM2.5 and its major secondary components (SO42-, NO3-, NH4+, and organic carbon (OC)), mixing layer height (MLH), and other meteorological parameters were made in the North China Plain (NCP) during the warm season ...
J. Wang +7 more
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A Novel Approach for Gaussian Mixture Model Clustering Based on Soft Computing Method
IEEE Access, 2021 Determining the number of clusters in a data set is a significant and difficult problem in cluster analysis. In this study, a new model-based clustering approach is proposed for the estimation of the number of clusters. In the proposed method, the number
Maruf Gogebakan
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Information-Corrected Estimation: A Generalization Error Reducing Parameter Estimation Method
Entropy, 2021 Modern computational models in supervised machine learning are often highly parameterized universal approximators. As such, the value of the parameters is unimportant, and only the out of sample performance is considered.
Matthew Dixon, Tyler Ward
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Remote Sensing, 2023 Impervious surfaces (IS) are one of the most important components of the earth’s surface, and understanding how IS have expanded is vital. However, few studies on IS or urbanization have focused on the cradle of the Chinese nation—the Yellow River Basin (
Jing Zhang +7 more
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Comparing Model Selection Criteria to Distinguish Truncated Operational Risk Models
Frontiers in Applied Mathematics and Statistics, 2020 In this paper three information criteria are employed to assess the truncated operational risk models. The performances of the three information criteria on distinguishing the models are compared.
Daoping Yu
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Using Genetic Algorithm in Outlier Detection for Regression Model [PDF]
مجلة التربية والعلم, 2018 Linear regression model is commonly used to analyze data from many fields. Sometimes the data under research contains outliers, and it is important that these outliers be identified in the course of the correct statistical analysis.
Zakariya Y. Algamal, Hamsa M.Thabet
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Ecotoxicology and Environmental Safety, 2023 Bisphenol A and its structural analogues (BPs) are widely used chemicals in electronics devices. To get insight into the occupational exposure to the full-time employees compared with the residents, urinary BPs in workers dismantling e-waste and in ...
Xiaoying Li +4 more
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Journal of New Theory, 2020 In the context of generalized linear modelling (GLM), the beta regression analysis is used to estimate regression models when the dependent variable lies between (0,1).
Mehmet Ali Cengiz, Emre Dünder
doaj
Pediatric Blood &Cancer, EarlyView.ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele +19 more
wiley +1 more source