scholarly journals Truncated $L^1$ Regularized Linear Regression: Theory and Algorithm

2022 ◽  
Vol 30 (1) ◽  
pp. 190-209
Author(s):  
Mingwei Dai
Keyword(s):  
Linear Regression ◽  
Regression Theory

Estimation of wind resources in the coast of Ceará, Brazil, using the linear regression theory

2014 ◽  
Vol 39 ◽  
pp. 509-529 ◽  
Author(s):  
Marcos Antonio Tavares Lira ◽  
Emerson Mariano Da Silva ◽  
José Maria Brabo Alves ◽  
Gielson Vitor Oliveira Veras
Keyword(s):  
Linear Regression ◽  
Regression Theory ◽  
Wind Resources

Ideological and Political Education Linear Regression Theory

2014 ◽  
Vol 989-994 ◽  
pp. 2220-2222
Author(s):  
Meng Zhang
Keyword(s):  
Linear Regression ◽  
Teaching Method ◽  
Linear Regression Analysis ◽  
Theory And Practice ◽  
Ideological And Political Education ◽  
Political Education ◽  
Case Study Teaching ◽  
Education Courses ◽  
Regression Theory

The paper presents a valid and efficient method to teach ideological and political education courses in linear regression analysis. It includes theory and practice parts, where interactive learning methodologies are created. It adopts case-study teaching, since this teaching method effectively integrates theoretical teaching and practical teaching. The lectures should be not an exhaustive review of regression methodology, but they should focus on how the regression models derived. Moreover, the teacher should pay more attention to the theoretical aspects of models rather than to their implementation using software. Students work in teams of three or four on a problem presented by teachers and choose relevant software to carry out their own projects. Feedback from students indicates that this method of teaching improves students' class attendance and greatly increases their interest in learning.

Empirical Models between User Requirements and Product Structural Variables: A Hydraulic Forging Press Case Study

2011 ◽  
Vol 697-698 ◽  
pp. 779-784 ◽  
Author(s):  
X. Li ◽  
Yan Qun Huang
Keyword(s):  
Linear Regression ◽  
Empirical Models ◽  
User Requirements ◽  
Preliminary Design ◽  
Mechanical Products ◽  
Structural Variables ◽  
Forging Press ◽  
Regression Theory

To effectively determine the key parameters of a model for complex mechanical products like hydraulic forging press (HFP), design cases were analyzed, user requirements (URs) quantified, and important mechanical structural variables (SVs) addressed to identify the underlying relationships between URs and SVs. By including experts’ experiences, empirical models were mathematically built and verified basing on the linear regression theory, and then applied to estimate practical variable values. The programmatic framework presented for the preliminary design of a product was implemented and successfully demonstrated on the preliminary design of an HFP company.

Investigation and Study of the Law of Passenger Distribution in One Carriage of Subway in Beijing

2013 ◽  
Vol 361-363 ◽  
pp. 2083-2087
Author(s):  
Qi Bing Wu ◽  
Feng Chen ◽  
Ji Ping Fang ◽  
Ou Yang Liu ◽  
Chang Liu ◽  
...  
Keyword(s):  
Linear Regression ◽  
Standing Position ◽  
On Line ◽  
The Law ◽  
Predicted Values ◽  
Investigation And Study ◽  
Regression Theory ◽  
Beijing Subway

The characteristics of passengers standing-position choice and the factors that have effects on passenger distribution are analyzed. According to the investigation results, the disproportion of passenger distribution in one subway carriage is confirmed. The curves about the standing passenger density (from 0-6p/m2) and the passenger number that use different facilities on Line 4 and Line 13 of Beijing Subway are fitted by means of the linear regression theory. Then, the equations of the curves are able to predict the passenger distribution under the situations of different standing passenger densities. After comparing the predicted values with the investigated values, the feasibility of the model is validated accordingly.

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