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111 articles for “Linear Regression Model”
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Research ArticleOpen accessIn the abstractPrediction of Body Weight from Linear Body Measurement Traits of Boer Goats Raised at Farm Tivolie, Limpopo Province, South AfricaLebo Trudy Rashijane, Vusi G Mbazima, Thobela Louis TyasiA total of 72 Boer goats (females = 58 and males = 14) from the age of one to five years were used to determine the association between Body Weight (BW) and linear body measurement traits viz. Body Length (BL), Heart Girth (HG), Rump Height (RH), Rump Width (RW), Ear Length (EL), Cannon Circumference (CC) and Heard Width (HW) and … …American Journal of Animal and Veterinary Sciences, Vol. 16, Issue 4 · 20 Nov 2021 · 6,872 accessesView PDFCite
Research ArticleOpen accessIn the abstractRisk Prediction with Regression in Global Software Development using Machine Learning Approach: A Comparison of Linear and Decision Tree RegressionAsim Iftikhar, Shahrulniza Musa, Muhammad Alam et al.Software development through teams at different geographical locations is a trend of modern era, which is not only producing good results without costing lot of money, but also productive in relation to its cost with low risk and high return. This shift of perception of working in a group rather than alone is getting stronger day by day and has … …Journal of Computer Science, Vol. 17, Issue 2 · 3 Mar 2021 · 7,366 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 abstractApplication of a Beta Regression Model for Covariate Adjusted ROCXing Meng, J.D. TubbsThe Receiver Operating Characteristic (ROC) curve and the area under the ROC (AUC) are widely used in determining the diagnostic capability of a binary classification procedure. Since the test performance is affected by covariates, the ROC and AUC have been utilized in a Generalized Linear Regression (GLM) setting. In this study, we revisit a problem where the AUC regression model … …Current Research in Biostatistics, Vol. 10, Issue 1 · 18 Jun 2020 · 13,966 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetection of Soil Total Nitrogen, Phosphorus and Potassium Content Based on the Spectral Information of Citrus CanopyLin Yunshuo, Li Zhen, Lv Shilei et al.The content of total nitrogen, phosphorus and potassium in the soil is an important basis for calculating the best fertilization amount and realizing the reasonable fertilization of the orange planting soil in time and accurately. In this research, hyper-spectral technology is applied to detect the three soil nutrient elements in the cultivated soil of citrus trees. Four spectral bands with … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 2 · 17 Apr 2020 · 7,805 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Probit and Logistic Regression Models in the Analysis of Dichotomous OutcomesAmrutha Jose, Mariyamma Philip, Lavanya Tumkur Prasanna, M. ManjulaProbit and logistic regression models are members of the family of generalized linear models, used for estimating the functional relationship between the dichotomous dependent and independent variables. The current study is designed to find the performance of logistic and probit regression models in different conditions under multivariate normality. The objective of the study is to compare the performance of probit … …Current Research in Biostatistics, Vol. 10, Issue 1 · 26 Mar 2020 · 17,036 accessesView PDFCite
Research ArticleOpen accessIn the abstractQSAR Modeling of Thirty Active Compounds for the Inhibition of the Acetylcholinesterase EnzymeNour El Houda Hammoudi, Yacine Benguerba, Widad SobhiThis work aims at developing a reliable and predictive QSAR model which allows, on one hand, an exploration of the main molecular descriptors responsible for the inhibitory activity towards the Acetylcholinesterase enzyme and, on the other hand, predict the inhibitory activity of new compounds before testing them experimentally. This study involves a series of DL0410 and its 29 DL0410 derivatives. … …Current Research in Bioinformatics, Vol. 8, Issue 1 · 2 Mar 2020 · 11,426 accessesView PDFCite
Review ArticleOpen accessIn the abstractInternal Indicators of Digestibility in Diets Containing Ammoniated Hay from Leaves of the Babassu Palm in the Maintenance of GoatsAntonia Leidiana Moreira, Arnaud Azevêdo Alves, Miguel Arcanjo Moreira Filho et al.The efficiency of the indigestible Dry Matter (DMi), indigestible Neutral Detergent Fibre (NDFi), indigestible Acid Detergent Fibre (ADFi) and Indigestible Lignin (LIGi) internal indicators was evaluated as a replacement for the method of total faecal collection in estimating faecal dry matter excretion and Dry Matter (DM) digestibility in diets containing hay from leaves of the babassu palm ammoniated with 4% … …American Journal of Animal and Veterinary Sciences, Vol. 16, Issue 4 · 22 Nov 2021 · 5,950 accessesView PDFCite
Research ArticleOpen accessIn the abstractNondestructive Assessment of Egg Freshness using a Synchronous Fluorescence Spectral TechniqueJianhu Wu, Guifeng Li, Yankun Peng et al.Freshness is an important index of egg quality. In this study, a synchronous fluorescence spectral technique was employed to determine the freshness of an intact egg. Synchronous fluorescence spectra of intact eggs were acquired using a fluorescence spectrometer supported by a laboratory fluorescence acquisition device and egg freshness (Haugh Unit) was obtained using destructive methods. Eggs feature fluorescence signals were … …American Journal of Biochemistry and Biotechnology, Vol. 15, Issue 4 · 19 Dec 2019 · 8,132 accessesView PDFCite
Research ArticleOpen accessIn the abstractTwo-Stage Estimation in Inverse Problems using Combined Wavelet Thresholding and Penalized Maximum LikelihoodRobert G Aykroyd, Hassan AljohaniInverse problems occur in a wide range of practical scientific investigations where the variables of interest are only observed indirectly, such as magnetic and seismic imaging in geophysics, electrical tomography in industrial process monitoring, or PET scanning in medicine. Linear inverse problems can be thought of as highly multivariate regression problems with strong multicollinearity where the aim is to interpret … …Journal of Mathematics and Statistics, Vol. 13, Issue 3 · 29 Sep 2017 · 7,925 accessesView PDFCite