
Regression model
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This paper presents optimization results of the Al6061 surface roughness in turning ultra-precision based on the central composite design method (CCD) and the grey wolf optimization algorithm (GWO). The experimental matrix is built with three independent variables including spindle speed, feed rate and depth of cut. With the experimental data, the roughness regression model is established.
7p
viaburame
14-03-2025
3
1
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In this study, one analytical procedure was established for simultaneous determination based on UV-Vis spectrometry coupled with several multivariate linear regress solved by Python – an open language programme to quantify three antibiotics, including TET, PGP, and CEX, in laboratoryprepared synthetic and pharmaceutical mixtures. This study also provided a universally analytical procedure for determining the three antibiotics in their pharmaceutical forms without the need for optimization for each analyte.
5p
viyoko
01-10-2024
5
0
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Nghiên cứu áp dụng mô hình hồi quy dữ liệu bảng động (Dynamic panel data model regression) để đánh giá tác động dài hạn của quản trị công đến tăng trưởng kinh tế bằng cách sử dụng dữ liệu về bộ chỉ số quản trị của Ngân hàng thế giới cho 23 quốc gia thu nhập trung bình tại khu vực châu Á trong khoảng thời gian 12 năm (từ năm 2008 đến năm 2020).
16p
viengfa
28-10-2024
2
1
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This study aimed to design novel Glutaminyl Cyclase (QC) inhibitors based on 2D-QSAR study, ligand-based pharmacophore modeling and molecular docking. A 2D-QSAR model was developed from a dataset of 1681 QC inhibitors by using Support Vector Regression (SVR) algorithm with 256-bit Morgan fingerprints.
17p
vihyuga
04-03-2025
3
1
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This study will provide evidence to help banks better understand the factors affecting profitability, thereby proposing solutions to improve operational efficiency and ensure sustainable development. To achieve this goal, the study uses a panel data regression model with data from the financial statements of Vietnamese commercial banks listed on the stock exchange from 2015 to 2022.
11p
viyamanaka
06-02-2025
3
2
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This paper proposes regression models to investigate the impact of ESG scores and other factors on foreign ownership in Vietnamese listed firms. ESG scores, as a valuable tool for measuring a firm's environmental, social, and governance performance, provide foreign investors with insights into investment risks and potential, enabling them to determine optimal ownership levels for maximising returns.
13p
tuetuebinhan000
23-01-2025
2
2
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The objectives of the study are determining factors and the level of impact of each factor on the application of ERP systems in textile enterprises in Vietnam. Six factors that affect the application of ERP in Vietnam textile companies by Regression Model have been found out, including support from senior management, effective project management, change management, support from consulting companies, training, and users.
10p
tuetuebinhan000
23-01-2025
2
2
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This study examines the impact of alternative energy resources, natural resources, and government spending on France's ecological sustainability from 2000 to 2021, emphasizing the Environmental Kuznets Curve (EKC) framework and the theory of linear regression models. The findings reveal an inverse relationship between CO2 emissions and renewable energy and nuclear share on both total energy supply and final consumption.
11p
tuetuebinhan000
23-01-2025
1
1
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Fear and anxiety in dentistry are among the factors that hinder access to dental care. This study aimed to assess the level of fear and anxiety regarding dental treatments and related factors.
7p
viharuno
03-01-2025
3
2
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Giả định CLRM (Classical Linear Regression Model mô hình hồi qui tuyến tính cổ điển): Các biến độc lập không có mối quan hệ tuyến tính chính xác (Independent Variables do not exist exact linear relationship) Nếu điều này xảy ra thì sẽ có hiện tượng đa cộng tuyến, đó là hiện tượng các biến độc lập trong mô hình phụ thuộc lẫn nhau và thể hiện được dưới dạng hàm số.
35p
boysanhdieu_chungtin
01-09-2011
191
40
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Lecture "Applied data science: Linear regression (review)" includes content: the regression model formulation, understanding the regression results, potential problems in regression model,... We invite you to consult!
20p
kimphuong1144
04-12-2023
10
3
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This thesis investigates the choice behaviour of first year undergraduate students through proposing and testing a conceptual model. The psychological constructs of personal values, motivation, selection criteria, demographic and socioeconomic factors introduced as underlying drivers provide invaluable insight into the pathways of influence and relationships between student types and their preference towards a particular degree program at a particular university.
321p
runthenight04
02-02-2023
11
2
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Two major areas of the scorecard development process were identified as having much capacity for improving credit scoring models. These are the application of 1) better classifiers and 2) variable selection techniques. However, the application of an artificial immune system for developing scorecards as well as the use of other variable selection techniques, other than stepwise regression, in credit scoring are quite limited as indicated by the scarcity of published materials in these two areas in the current literature.
210p
runthenight04
02-02-2023
11
2
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With a view of providing investors with a better understanding of the risk and return relationship in the A-share market over the past decade, this thesis adapts several empirical models to the circumstances in China and conducts four empirical analyses. The analysis is undertaken employing the returns on the Chinese A-share market, the Chinese B-share market and the Hong Kong H-share market together with a series of developed stock markets.
196p
runthenight04
02-02-2023
18
3
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This study developed the framework of knowledge spillovers at sector level and investigated these spillover effects of research and development (R&D), foreign direct investment (FDI) and trade activities on sectoral innovation by Spatial Regression Models.
197p
gaocaolon12
14-06-2021
12
2
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This study developed the framework of knowledge spillovers at sector level and investigated these spillover effects of research and development (R&D), foreign direct investment (FDI) and trade activities on sectoral innovation by Spatial Regression Models. Besides, the study examined the spillover effects of sectoral innovation and provincial human resources on firms’ TFP with 7,236 enterprises in 38 sectors of Vietnamese manufacturing industries, located in 62 provinces by Cross-Classified Models.
197p
kethamoi12
15-05-2021
18
4
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This research investigates the relationship between microeconomic, macroeconomic variables and number of cars sold in US. The main objective is to determine the factors that affecting the number of car sold in US. This research covers the time period from 1975 to 1990. The analysis methods that have been applied in this study include descriptive statistics, linear regression and correlation analysis.
36p
daothikimlinh
25-02-2021
37
9
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This study is expected to be a pace further over earlier studies which have been undertaken to analyse the impact of FDI on the export performance of Vietnam. Both analytical descriptive and regression model methods are used to obtain those objectives.
121p
trananh2212
03-10-2020
23
3
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The estimation of the model parameters is performed by maximum likelihood method. We hope that the new distribution proposed here will serve as an alternative model to the other models which are available in the literature for modeling positive real data in many areas.
11p
guineverehuynh
22-06-2020
18
1
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The present study introduces a set of machine learning-based models to predict the heating and cooling loads in buildings. This includes back-propagation artificial neural network, generalized regression neural network, radial basis neural network, radial kernel support vector machines and ANOVA kernel support vector machines.
6p
tohitohi
22-05-2020
22
1
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