Regression models

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   Download

Artificial neural networks, which are an essential tool in Machine Learning, are used to solve many types of problems in different fields. This article will introduce an application of the artificial neural network model in the diagnosis of heart disease based on the heart.csv data file.

6p viengfa 28-10-2024 2 2   Download

The study is a complement to the studies of the tensile strength of cement paste backfill gradually becoming complete. Evaluate the reliability of the proposed model and analyze the influence of the components on the tensile strength. At the same time, the study is also interested in the influence of the components.

9p viengfa 28-10-2024 3 1   Download

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 viengfa 23-10-2024 0 0   Download

This study presents the application of six single algorithm-based models of artificial intelligence, such as artificial neural network (ANN), support vector machine (SVM), classification and regression trees (CART), linear regression (LR), general linear model (GENLIN), and automatic Chisquared interaction detection (CHAID) to predict the residual flexural capacity of corroded RC structures.

12p vibecca 01-10-2024 1 1   Download

Nghiên cứu này áp dụng mô hình hồi quy logit thứ bậc (Ordered logit regression model) theo phương pháp ước lượng cực đại (MLE) để làm cơ sở phân tích các yếu tố ảnh hưởng đến khả năng tiếp cận thị trường của nông hộ tại huyện Đơn Dương, tỉnh Lâm Đồng.

10p vibecca 01-10-2024 6 2   Download

In this study, a logistic regression model is developed to forecast tropical storm (TS) genesis in the Vietnam East Sea from 2012 to 2019. The model incorporates seven potential predictors including dynamic and thermodynamic parameters at formation time retrieved from the WRF-LETKF outputs.

12p vibecca 01-10-2024 3 2   Download

The research focused on evaluating the economic efficiency of swine farms applying biosecurity practices in Bac Ninh Province. Our study surveyed 143 pig farms in Bac Ninh province. The ordinal logit regression model was employed to estimate the factors affecting the level of biosecurity practices.

14p vibecca 01-10-2024 0 0   Download

In this study, we use various features, including permission lists, API system calls, and library lists, to create a system named AnLibsXAI to classify Android malware. We experimented with six machine learning models such as Support Vector Machine (SVM), Random Forest (RF), Logistic Regression (LR), Decision Tree (DT), K-Nearest Neighbors (KNN) and Multilayer Perceptron (MLP).

12p viyoko 01-10-2024 2 1   Download

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 4 0   Download

This research aims to examine the impact of Internet use on trade openness in Southeast Asian countries, with eight countries over the period of 1996-2020 as its samples. This study analyzed the data provided by World Bank using regression methods on random-effects, fixed-effects, and Driscoll-Kraay standard errors models. The research results show that the growth of the Internet positively affects trade openness in Southeast Asian countries.

8p viormkorn 27-09-2024 8 3   Download

In this paper, therefore, given experimental data STCC columns, the authors used four useful AI models to estimate the axial strength in the STCC columns. Particularly, artificial neural networks (ANNs), support vector regression (SVR), linear regression (LR), and M5P were applied in this study.

14p vifilm 24-09-2024 2 1   Download

The implementation duration of road work is critical as it impacts both the cost and outcome of the project. The article examines the techniques used to determine the time required for the completion of road work projects. It explores the approach to estimating the duration of road work projects in low- and middle-income countries (LMICs) based on the ROCKS database created by the World Bank.

13p vifaye 20-09-2024 3 1   Download

Exports has played an important role in economic growth in most countriesand territories. The article uses a panel data regression model to analyze the growth of ten provinces in Red River Delta (Vietnam) in the period 2005-2020. The research result shows that there are factors that positively affect the economic growth of Red River Delta, including investment capital (variable LnI), labor (variable LnL), exports (variable LnEx) and price index (variable CPI).

9p toduongg 24-08-2024 4 1   Download

This study examines the change in FDI inflows to Vietnam following both traditional and new generation of FTAs. The regression results from the gravity model show that JVEPA has the greatest effect on FDI inflows to Vietnam, followed by AKFTA, and UKVFTA. This suggests that Vietnam should promote more both bilateral and modern free trade agreements.

11p toduongg 24-08-2024 3 2   Download

This study aims to determine the factors affecting the livelihood diversity of households in the lagoon area in Quang Dien district, Thua Thien Hue province. Data was collected from the survey of 150 households in Quang Cong and Quang Ngan communes, Quang Dien district. Tobit regression model was used to analyze the factors affecting the livelihood diversity of households.

10p toduongg 24-08-2024 4 2   Download

This modeling is performed on an experimental data set of complexes, where the metal ions of these complexes include transition ion metals and lanthanide ion metals. We use these models to develop a series of new thiosemicarbazone and their complexes; simultaneously, the complexes are worked out the stability constants from the novel models.

9p dianmotminh02 03-05-2024 7 2   Download

The purpose of this paper is to study the characteristics of competitiveness in firms’ sectors of the Greek manufacturing industry, based on firm level accounting and qualitative data attempting to identify key issues regarding Greek SMEs. An unbalanced data set of 407 Greek manufacturing SMEs is implemented, covering the period of 2003-2011 with the use of a multivariate regression model (EGLS) with explanatory variables characterizing firms’ operational activity.

7p longtimenosee10 26-04-2024 2 2   Download

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 8 3   Download

The article "A review of metaheuristic optimized machine learning regression with applications in construction engineering" aims at reviewing state-of-the-art research works involving the use of metaheuristic optimized machine learning regression models. Recent research articles published in the time period of 2019-2021 are surveyed. Research areas of construction material, construction management, structural engineering, geotechnical engineering, hydraulic engineering, and structural health monitoring are taken into account.

7p nhanchienthien 25-07-2023 7 4   Download