Results 21 to 30 of about 245,408 (200)
Barekeng, 2022 If there is multicollinearity and outliers in the data, the inference about parameter estimation in the LS method will deviate due to the inefficiency of this method in estimating.
Netti Herawati +2 more
doaj +1 more source
Agglomeration behaviour of steel plants solid waste and its effect on sintering performance
Journal of Materials Research and Technology, 2017 Recycling has been the fascinating topic among the researchers for all times. The present study shows the recycling of steel plant's solid wastes as blast furnace flue dust and sludge towards agglomeration and their use in the production of sinter. These
Prince Kumar Singh +3 more
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EFEKTIVITAS REGRESI KUANTIL DALAM MENGATASI PONTENSIAL PENCILAN
Barekeng, 2020 Quantile regression as a robust regression method can be used to overcome the impact of unusual cases on regression estimates such as the presence of potential outliers in the data.
Netti Herawati
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Advances in Distributed Computing and Artificial Intelligence Journal, 2022 Clustering is the unsupervised machine learning process that group data objects into clusters such that objects within the same cluster are highly similar to one another.
Zahid Rahman +3 more
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Journal Focus Action of Research Mathematic, 2023 Vaksinasi adalah proses pemberian vaksin pada tubuh manusia yang bertujuan untuk meningkatkan kekebalan tubuh secara aktif terhadap suatu penyakit dan tidak menjadi sumber penularan penyakit tersebut.
Ira Yudistira +3 more
doaj +1 more source
Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling: 2019-09-mse-nc
, 2021 Error Grids Heatmaps of the $\log10$ of the hierarchical model MSE for varying DoE sizes, shown as the median over $\numreps = 50$ iterations, on four benchmark problems.
Sebastian Schmitt (10174255) +3 more
core +1 more source
A COMPARATIVE FRAMEWORK FOR BLOCKING ARTIFACTS REMOVAL OF DIGITAL IMAGES USING HYBRID MECHANISM
ICTACT Journal on Image and Video Processing, 2022 The restoration of an image with blocking artifacts due to compression at low bit rates is a challenging task and blocking artifact measurement algorithms have an important role to play in the computer vision field.
Manu Prakram +2 more
doaj +1 more source
Performance of Some Yang and Chang estimators in Logistic Regression Model. [PDF]
المجلة العراقية للعلوم الاحصائيةIn logistic regression models, the maximum likelihood (ML) method is always one of the commonly used to estimate the model parameters. However, unstable parameter estimates are obtained as a result due to the problem of multicollinearity and the mean ...
JAMES OLADAPO, k. Ayinde K. Ayinde
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MSE lower bounds for deterministic parameter estimation [PDF]
, 2010 This paper presents a simple approach for deriving computable lower bounds on the MSE of deterministic parameter estimators with a clear interpretation of the bounds.
Chaumette, Eric +5 more
core
MSE-Type Zeolites: A Promising Catalyst for the Conversion of Ethene to Propene
, 2016 The direct conversion of ethene to propene (ETP) is a potentially important route for the selective production of the latter olefin. Here we report that after some time on stream, H-UZM-35, an MSE-type large-pore zeolite, shows much better propene yield ...
Kyounghwan Lee (439982) +2 more
core +1 more source