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49 results for “multiple linear regression”
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Research ArticleOpen accessIn the keywordsPrediction of the Daily Mean PM10 Concentrations Using Linear ModelsJ. C.M. Pires, F. G. Martins, S. I.V. Sousa et al.The performance of five linear models to predict the daily mean PM10 concentrations was compared. The linear models proposed were: (i) multiple linear regression; (ii) principal component regression; (iii) independent component regression; (iv) quantile regression; and (v) partial least squares regression. The study was based on data from an urban site in Oporto Metropolitan Area and the analysed period was … …American Journal of Environmental Sciences, Vol. 4, Issue 5 · 31 Oct 2008 · 7,132 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAN EFFECTIVE TECHNIQUE OF MULTIPLE IMPUTATION IN NONPARAMETRIC QUANTILE REGRESSIONYanan Hu, Qianqian Zhu, Maozai TianIn this study, we consider the nonparametric quantile regression model with the covariates Missing at Random (MAR). Multiple imputation is becoming an increasingly popular approach for analyzing missing data, which combined with quantile regression is not well-developed. We propose an effective and accurate two-stage multiple imputation method for the model based on the quantile regression, which consists of initial imputation … …Journal of Mathematics and Statistics, Vol. 10, Issue 1 · 4 Jan 2014 · 6,813 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSequential Multiple Response Optimization for Manufacturing Flexible Printed CircuitPichpimon Kanchanasuttisang, Pongchanun LuangpaiboonProblem statement: Flexible Printed Circuit or FPC, one of automotive electronic parts, has been developed for lighting automotive vehicles by assembling with the LED. The quality performances or responses of lighting vehicles are relied on the circuit width of an FPC and the etched rate of acid solution. According to the current operating condition of an FPC company, the capability … …American Journal of Applied Sciences, Vol. 9, Issue 5 · 12 Mar 2012 · 6,859 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploring University Students' Perceptions of AI Tools in Programming Education: An Extended TAM ApproachAreej Abdullah AlfuhaidGenerative Artificial Intelligence (AI) is commonly used in programming education. Tools such as ChatGPT and GitHub Copilot aid in code generation, debugging, and explanation. The benefits are clear, though concerns about learning quality and academic integrity persist.We tested an extended Technology Acceptance Model (TAM) for university programming courses. The model included perceived usefulness and perceived ease of use. It added … …Journal of Computer Science, Vol. 22, Issue 3 · 11 Mar 2026 · 2,061 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenome-Wide Association Study of Single Nucleotide Polymorphisms with Milk Traits in Red Gorbatov CattleMarina Ivanovna Selionova, Grigorii Sergeyevich Shekhovtsev, Ivan Petrovich Prokhorov et al.In order to preserve the gene pool of the Red Gorbatov breed, it is necessary to use a set of genomic analysis tools that allows more efficient planning in obtaining individuals who meet the economic requirements of dairy farming. The aim of the work was to identify candidate genes associated with milk production traits in Red Gorbatov cattle using a … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 4 · 12 Oct 2024 · 4,736 accessesView PDFCite
Research ArticleOpen accessIn the abstractGlobal Supply Chain: Enhance Production Cost Efficiency Through Machine LearningLoubna Moumeni, Mohammed SaberMachine learning has enabled the discovery of various disciplines and patterns in Supply Chain Management (SCM). The entire industrial sector is striving to harness the contextual intelligence provided by machine learning by exploring new areas within the supply chain network. This article delves into Supply Chain Management (SCM) and its broader implications beyond logistics. SCM involves the resources, methods, and … …Journal of Computer Science, Vol. 20, Issue 9 · 14 Jun 2024 · 5,316 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeterminants of Household Saving Using Linear Regression Model. Evidence in Italian RegionsDomenica Federico, Antonella Notte, Angela Coscarelli, Maria Anastasia ArcuriHousehold saving decisions have always attracted the attention of researchers and policymakers. In fact, an increase in savings increases investments and this is reflected in an improvement in the standard of living of householders. Therefore, the focus of this article is on the determinants of household saving decisions in Italian regions. The savings of Italian families are represented by the … …American Journal of Economics and Business Administration, Vol. 16, Issue 1 · 30 Apr 2024 · 9,264 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Disease Index Based on Multi-Spectra of UAV to Estimate Cotton DiseaseBing Chen, Jing Wang, Qiong Wang et al.Verticillium wilt is a significant disease that affects cotton plants, which can lead to stunted growth and reduced yield. To address this, a multi-spectral comprehensive monitoring disease index model is developed using an Unmanned Aerial Vehicle (UAV) to monitor the severity of cotton Verticillium wilt. First, multi-spectral dates were collected from Hexacopter (HY-6X) and the phenotype disease grade of cotton … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 4 · 25 Mar 2024 · 5,087 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Evaluation of Machine Learning-Based Algorithms to Predict the Early Childhood Development Among Under Five Children in BangladeshMd. Ismail Hossain, Iqramul Haq, Ashis Talukder et al.In this research, an effort has been made to apply a number of classifiers to predict Early Child Development (ECD) in the context of Bangladesh using the Bangladesh multiple indicator cluster survey, 2019 data set (i.e., to evaluate which sort of algorithm best identifies ECDI). To predict the ECD, nine well-known machine learning algorithms were applied, including Linear Regression (LR), … …Journal of Computer Science, Vol. 19, Issue 5 · 5 May 2023 · 6,838 accessesView PDFCite
Research ArticleOpen accessIn the abstractInfluences of Conventional Feeding Regimen on the Productivity of Bali Cattle in SamarindaHamdi Mayulu, Siti Maisyaroh, Surya Nur Rahmatullah, Irsan TricahyadinataThe pattern of Bali cattle farming in Indonesia is dominated by traditional livestock systems which are identical to local feeding (without taking into account the needs of cattle. This study aims to determine the effect of conventional feeding on the productivity of Bali cattle in Lempake Village, North Samarinda Sub-district, Samarinda City. The study targeted male Bali cattle and measured … …American Journal of Animal and Veterinary Sciences, Vol. 17, Issue 4 · 27 Oct 2022 · 7,396 accessesView PDFCite