An Application of the Linear Errors-in-Variables Model in Semiconductor Device Performance Assessmentdeep submicron CMOS technologyindicator variablesleakage currentmaximum likelihood estimationorthogonal regressionsaturation drain currentDesigners and manufacturers in the semiconductor industry constantly seek ways of...
In this article, you will get an idea of “Real Life Scenario of Logarithm”. Real life scenario of logarithms is one of the most crucial concepts in our life. As we know, in our maths book of 9th-10th class, there is a chapter named LOGARITHM is a very interesting chapter and its...
Two applications with real-life interval data sets are considered. The prediction quality is assessed by a mean magnitude of relative error calculated from a test data set. (C) 2012 Elsevier Ltd. All rights reserved. 展开 关键词: robust regression symbolic data analysis interval-valued data ...
sectional dependence of the variables studied [3,22,23]. This situation has led to the application of the (Method of Moments) Quantile Regression to different indices linked to sustainability [1,3,6,22,23,24], as well as in other works focused on the determinants of the development of eco...
The adaptive potential of ... R Giedych,G Maksymiuk,A Cieszewska 被引量: 0发表: 2024年 Real Estate Price Prediction Based on Linear Regression and Machine Learning Scenarios The changes in the housing market are not only related to human beings' daily life, but also have an important ...
Further, the design of exponentially weighted moving average (EWMA) control charts is proposed based on the residuals obtained through SVM regression model. Analyzing real cardiac surgery patient data, we employed the SVM method to gauge patient condition. The resulting SVM-EWMA chart, fashioned via...
In our experiments we used the scikit-learn implementation SVC, which is based on the libsvm library12. With respect to the tunable parameters, we experimented with both linear and radial basis kernels. The Γ parameter was calculated by the heuristic 1/number of attributes. The penalty ...
3. A taxonomy of the MCDA process characteristics 4. Clustering of DSSs for MCDA method(s) recommendation 5. How to apply the proposed taxonomy to describe MCDA methods and identify the appropriate one(s) for a specific case study? 6. Discussion and conclusion Disclaimer Funding Declaration of...
The maximum likelihood estimator (MLE) suffers from the instability problem in the presence of multicollinearity for a Poisson regression model (PRM). In this study, we propose a new estimator with some biasing parameters to estimate the regression coefficients for the PRM when there is multicollinea...
3D criteria to improve real-time pressure control in water distribution network system architecture. Water Supply, 2024, 24(8): 2795-2816. DOI:10.2166/ws.2024.166 19. López, J.L., Vásquez-Coronel, J.A. Analyzing Monofractal Short and Very Short Time Series: A Comparison of Detrended ...