STATISTICAL STUDY OF SOME INDICATORS IN THE LIVESTOCK SECTOR by R amona M aria DIMITROV

“…Also, the correla tion matrix between the indicators is analyzed and three validated linear regression models are presented with the interpretation of the results. …”

The circular economy and sustainable development in the European Union's new member states by Mihaela Simionescu

“…A macroeconomic approach based on panel data models and Bayesian random linear regression models was conducted for Cyprus, Latvia, Lithuania, Hungary, Poland, Romania, Slovenia, and Slovakia from 2008-2020. …”
Get full text

Behaviors and influencing factors of Chinese oncology nurses towards frailty care: A cross-sectional study based on knowledge-attitude-practice theory in 2024. by Xiaoxue Chen, Fang Xiao, Yuhua Miao, Huiying Qin, Lirong Yang, Fang Shen, Xiuhong Yuan

“…Two kinds of multiple linear regression models both showed that the factors most significantly associated with the oncology nurses' frailty care behaviors are their self-rated subjective knowledge and attitudes towards frailty identification.…”
Get full text

Computation of Differential, Integral Operators and Quantitative Structure–Property Analysis of Boron α-Icosahedral Nanosheet by Khalil Hadi Hakami, Abdul Rauf Khan, Saad Amin Bhatti

“…We looked at the physicochemical properties of boron α-icosahedral nanosheets using reverse degree–based topological descriptors and best-fit linear regression models to get an idea of what they are. Researchers are hoping that this strategy will lead them into new areas where they can investigate related studies.…”
Get full text

DETERMINANTS OF ENTERPRISE COLLABORATION ON INNOVATION by Tomasz KIJEK, Anna MATRAS-BOLIBOK, Beata PODSTAWKA

“…To explain the enterprise’s propensity to collaborate on innovation, we employed two linear regression models. As determinants of cooperation, we included the absorptive capacity, the firm size, and the scale of activity. …”
Get full text

DOES VENTURE CAPITAL AFFECT CROWDFUNDING PERFORMANCE? by Chia-Ling Chang, Yen-Sheng Lee, Han-Kun Tien

“…The results of linear regression models reveal that the venture capital-funded entrepreneurial firms perform better in the crowdfunding market than their non-funded peers. …”
Get full text

DOES VENTURE CAPITAL AFFECT CROWDFUNDING PERFORMANCE? by Chia-Ling Chang, Yen-Sheng Lee, Han-Kun Tien

“…The results of linear regression models reveal that the venture capital-funded entrepreneurial firms perform better in the crowdfunding market than their non-funded peers. …”
Get full text

Research on House Price Prediction based on Machine Learning by Yang Xiangjun

“…For the house price prediction task, Random Forests generally perform better than Linear Regression and Single Decision Tree because they can better capture complex patterns in the data and reduce the risk of overfitting. Linear regression models are simple and easy to interpret, but may not be accurate enough when dealing with nonlinear relationships and outliers. …”
Get full text

Urban Residents’ Willingness to Choose and Pay for ADAS and Autonomous Driving Functions: Comparison of Two Cities in China by Fang-Kai Wang, Ze-Hao Jiang, Yi-Jia Dong, Yue Ma

“…Using the questionnaire survey data for Jiading and Meishan in China, Logit models are established for willingness to choose, and linear regression models are established for willingness to pay. …”
Get full text

Using the Bayesian Model Averaging Approach for Genomic Selection by Considering Skewed Error Distributions by Azadeh Ghazanfari, Afshin Fayyaz Movaghar

“…Materials and Methods: In this study, we apply the BMA method to linear regression models with skew-normal and skew-t distributions to determine the best subset of predictors. …”
Get full text

Evaluation and Numerical Simulation of Music Education Informationization Based on the Local Linear Regression Method by Jiping Liu

“…The estimation methods and conclusions of this article enrich the research of functional linear regression models and will help analyze the complex and changeable problems encountered in the application of music education information.…”
Get full text

Comparative Study of Generalized Sum Graphs via Degree-Based Topological Indices by Muhammad Javaid, Saira Javed, Ebenezer Bonyah

“…As a conclusion, we also checked the correlation between predefined graph H1H2 under the operation of lexicographic product H1 and H2 with newly defined generalized Q-sum graphs H1QαH2 using linear regression models of various degree-based TIs.…”
Get full text

Intramuscular Adipose Tissue, Sarcopenia, and Mobility Function in Older Individuals by Robin L. Marcus, Odessa Addison, Leland E. Dibble, K. Bo Foreman, Glen Morrell, Paul LaStayo

“…The contribution of strength, quadriceps lean tissue, and IMAT to explaining the variability in mobility function was examined using multivariate linear regression models. Results. The predictors as a group contributed 27–45% of the variance in all outcome measures; however, IMAT contributed between 8–15% of the variance in all four mobility variables, while lean explained only 5% variance in only one mobility measure. …”
Get full text

Presenting a Prediction Model for CEO Compensation Sensitivity using Meta-heuristic Algorithms (Genetics and Particle Swarm) by Saeed Khaljastani, Habib Piri, Reza Sotoudeh

“…This superiority holds true for all three data mining models compared to the three linear regression models. Among the data mining models, the third model, which incorporates the cost behavior parameter of changes in operational costs, produced the best results. …”
Get full text

The associations of physical activity patterns and the triglyceride-glucose index in US adults: a secondary data analysis of NHANES (2007–2018) by JinYe Zhang, YiLin Yang, HaoNan Zheng, BoWen Bai, QianKun Yang, Li Zhang, YuTong Zhao, Jing Luo, Bin Yu

“…Multivariate adjusted linear regression models showed that insufficiently active adults (β = − 0.05, P = 0.3524), WWs (β = −0.01, P = 0.9129), and RA adults (β = − 0.110, P < 0.0001) all had significantly lower TyG indices compared to inactive adults. …”
Get full text

Induced seismicity and geothermal energy production in the Salton Sea Geothermal Field, California by Malcolm C. A. White, Nori Nakata

“…We find that linear regression models fail to reliably forecast the background seismicity rate as a function of fluid production and injection.…”
Get full text

Deep, Surface, or Both? A Study of Occupational Therapy Students’ Learning Concepts by Tore Bonsaksen

“…Differences between student cohorts were analyzed with one-way analyses of variance and χ2 tests, whereas factors associated with the students’ learning concepts were analyzed with bivariate correlation and linear regression models. Results. The students’ mean scores on the deep and surface learning concept scales were similar. …”
Get full text

Association of serum selenium with MASLD and liver fibrosis: A cross-sectional study. by Wenying Guo, Ting Weng, Yufei Song

“…<h4>Results</h4>Through the application of linear regression models, our comprehensive data analysis revealed significant insights. …”
Get full text

COLLATERAL DETERMINATS IN BANK RISK MANANAGEMENT: THE REGIONAL CASE by A. M. Karminsky, O. D. Khon

“…This study is based on linear regression models evaluated by the least square method. …”
Get full text

Modeling and Numerical Prediction on Mechanical Behaviors of Hybrid Fiber Reinforced Polymer Bio Composites Using Fuzzy Logic Algorithm by Vinoth Viswanathan, Sathiyamurthy Subbarayan, Ananthi Narayanaswamy, Devi Panneerselvam, Prabhakaran Jayasankar

“…The experiments were planned as per the design of experiments, the selected input parameters were fiber length (mm), NaOH treatment (%), and fiber weight (%) and the output parameters were tensile, flexural, and impact strength conditions. A Non-Linear Regression Modelling (NLRM) and Fuzzy logic model have been designed to predict and analyze the mechanical properties in unknown test conditions. …”
Get full text