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31 articles for “multiple linear regression”
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Performance of Some Modified Ordinary Ridge Regression Estimators
Abstract: In multiple linear regressions, if the data suffer from severe multicollinearity, then the ordinary least squares (OLS) method become more sensitive to it, and in such a case OLS could yield wrong sign for some of the regression coefficients. Therefore, when such a situation arises, we could use one of the biased regression methods viz., ridge regression, principal component regression, and so on, as an alternative method to OLS. This …
Published in Research & Reviews : Journal of Statistics Read article
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Determinants of Forage and Forage Seed Production in Silte and Gurage Zones and, Yem Special Woreda, SNNPR, Ethiopia
Abstract: Poor feed and nutrition are major constraints of livestock production in sub-Saharan Africa. Crop residues are becoming the major livestock feed resources in Ethiopia. Crop residues are nutritionally characterized as containing a high proportion of cell wall and deficient in energy, protein and micronutrients. The country has developed several feed production and utilization technologies. However, production of these technologies has so far been under expected. So, identification of the major …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 11, Issue 1, 2022 · pp. 30–38 Read article
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Statistical Analysis on Time Spent on Internet Use by College Students: A Case Study of Butwal SubMetropolitan City, Nepal
Abstract: This study aims to identify the factors associated with time spent on internet by bachelor level students under Tribhuvan University at Butwal sub-metropolitan city. This study is entirely based on primary data taken from five colleges selected purposively at Butwal Submetropolitan city of Rupandehi district. The sample of the study contains 514 students. Samples were taken by proportionate technique from each faculty from each selected college. Classes and students were …
Published in Research & Reviews : Journal of Statistics · Vol. 6, Issue 3, 2017 · pp. 62–72 Read article
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2D-QSAR (Quantitative Structure Activity Relationship) Study of Probable Inhibitors for Oral and Cervical Cancers, Generation of Model for Pharmacophore Prediction
Abstract: Twenty-four analogs, conjugates and congeners of curcumin reported as inhibitors against HPV 16 E6 and E7 protein targets have been selected for generating QSAR model. The 46 descriptors were calculated using Schrodinger program version quikprop 9.2. Two alternative methods have been used to generate QSAR models. The first model generation was built on 5 descriptors namely glob, QPlogS, CIQPlogS, IP (eV), human oral absorption which were subjected to multiple linear …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 5, Issue 1, 2018 · pp. 1–13 Read article
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Principles of Interpolating Prognostication in Oncology
Abstract: AbstractThe precise prediction in oncology plays a critical role in prevention, treatment, assessment of the effectiveness of methods of treatment and treatment outcomes for cancer patients. Some medical researches claim that statistical processing (factor analysis) permits to precisely individualize the prognosis, which determines the possibility of an individual approach to monitoring and postoperative treatment of patients. However, factor analysis permits only creating a matrix of factors that can significantly describe …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 9, Issue 2, 2020 · pp. 39–51 Read article
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Assessment and Associated Factors of Adjustment Disorder with Mixed Depression and Anxiety of Hospitalized Patients with Pandemic Disease, COVID-19 in Ethiopia, East Africa, 2020
Abstract: AbstractBackground: Globally, the 2019 coronavirus disease (COVID-19) pandemic has raised international concern. According to world meters report, 4,545,167 cases, 1,715862 recoveries, 303,847 deaths and spread to 213 countries, and significant number increasing from day to day since December 2019. Mental health is becoming an issue that cannot be ignored in our fight against it. This study aimed to explore the prevalence, and factors linked to anxiety and depression in hospitalized …
Published in Research and Reviews: A Journal of Health Professions · Vol. 10, Issue 2, 2020 · pp. 57–65 Read article
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Monitoring of Ship Deployment Through Emerging Technologies
Abstract: The mission for naval vessels encompasses defining combat tasks, deployment statuses, and timing requirements to optimize combat patrol effectiveness and daily ship management. This involves inheriting, developing, and optimizing ship deployment strategies while establishing new deployment categories with distinct names, connotations, personnel, and equipment needs to ensure organic integration and synergy. Emphasis is placed on maintaining continuity, stability, and forward-thinking to meet the demands of warship combat operations, facilitate management …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 59–66 Read article
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Mathematical Modeling Analysis of India's Accident &Use of Fly Ash and Polymers in Road Safety
Abstract: Accident predicting models (APMs) are exceptionally strong tools for adaptation and mitigation strategies because they have the ability to predict both the severity and frequency of crashes. Road accidents are a major problem all throughout the world, especially in developing countries. Understanding the key variables that contribute can assist in reducing the frequency of traffic collisions. This study also discovered recent developments on fly ash, green composites, other polymer materials …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 488–499 Read article
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The Impact of Climate Change on Jute Production in Gaibandha District, Bangladesh
Abstract: Jute plays a crucial role in Bangladesh’s agricultural economy, especially in Gaibandha District, where it is a key crop for rural livelihoods. However, climate change, characterized by rising temperatures and unpredictable rainfall, poses significant threats to jute production. While numerous studies have explored the broader impact of climate change on agriculture, there is a gap in understanding how localized climate conditions specifically affect jute farming in Gaibandha, with many existing …
Published in International Journal of Climate Conditions · Vol. 2, Issue 1, 2025 · pp. 1–17 Read article
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DFT/Data Guided Predictive Modelling of Absorption Maxima in the OLED Rubrene Derivatives
Abstract: This study investigates the optical properties of rubrene derivatives to develop an accurate predictive model for absorption maxima using computational chemistry and chemoinformatic techniques. We benchmarked various quantum chemical methods, identifying that the M06-2X/aug-cc-pVDZ method in dichloromethane (DCM) provided the strongest correlation with experimental data. Key molecular descriptors such as band gap, ionization potential, and electrophilicity index were calculated and analyzed using principal component analysis (PCA) to identify significant factors …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 41–56 Read article
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Evaluating UX Design Factors Affecting Efficiency of Composite Material Design and Analysis Platforms
Abstract: Within engineering software platforms that involve the design, simulation and characterization of composite materials, user experience (UX) design has become a key determinant for efficient use. This research aims to quantify how user experience design parameters relate to productivity in composite engineering workflows by analyzing the relationship between usability, learnability, accessibility, complexity of the UI, navigation efficiency and users engineering results satisfaction. Computational techniques in python were used in the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 341–366 Read article
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Evaluating the Best Belt Conveyor Assembly Using TOPSIS Approach
Abstract: This article presents a new approach for the selection of Belt Conveyor of screening creaser on the basis of their performance. This article includes the effective factors like angle of response, load capacity of motor, raw material load capacity, raw material dimension. These all important factors affect the performance of Belt Conveyor Assembly. Therefore, determination of the best Belt Conveyor is basically a Multi-Attribute Decision Making (MADM) problem. Our aim …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 3, 2014 · pp. 1–6 Read article
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Determinants of Time on the Market and its Effect on Sales Price for Developed Residential Land in Akure, Nigeria
Abstract: This research work examined the contributing factors of time on the market (TOM) on developed residential property market in Akure. It also examined the effect the time lag has on the sales price. The data for the study was collected through structured questionnaires administered on principal partners of the 20 estate surveying and valuation firms in Akure as contained in the, 2014 register of the heads of firms of the …
Published in Journal of Production Research & Management · Vol. 6, Issue 2, 2016 · pp. 1–12 Read article
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Rapid Determination of Content of Etoricoxib in Pharmaceutical Formulations by Mid-Infrared Spectroscopy
Abstract: The present paper is an attempt to highlight a new technique FTIR-ATR along with its referenced validated method, UV spectrophotometric analysis. Different concentrations of etoricoxib were used as samples to draw standard plot. From different samples, a transmission spectrum was recorded according to the prominence of peaks. The present study has chosen the three most prominent peaks for analytical purpose in case of samples of etoricoxib and marketed formulations. All …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 4, Issue 3, 2013 · pp. 20–32 Read article
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Quantitative Structure Activity Relationship Studies of Some New 4-Thiazolidinone Derivatives as Antimicrobial Agents
Abstract: In the present study, quantitative structure activity relationship (QSAR) studies have beenperformed on series of 24 compounds of 4-thiazolidinone derivatives with antimicrobialactivity using Chemoffice version 8.0 software. The QSAR models have been developed byusing multiple linear regressions in order to identify descriptors, which are actually focusingtowards the biological activity. Leave one out (LOO) method was employed in crossvalidation analysis to validate the developed model. The best predictive QSAR model derived,had …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 8, Issue 2, 2017 · pp. 1–3 Read article
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3D QSAR Studies of 2,3-Disubstituted Quinazolin Phenyl Acetic Acid Derivatives as Antimicrobial Agents
Abstract: Quantitative structure activity relationship (QSAR) studies have been performed on series of31 compounds of 2,3-disubstituted quinazolin phenyl acetic acid derivatives withantimicrobial activity using Chemoffice version 8.0 software. The QSAR models have beendeveloped by using multiple linear regressions in order to identify descriptors, which areactually focusing towards the biological activity. Leave one out (LOO) method was employedin cross validation analysis to validate the developed model. The best predictive QSAR modelderived, had …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 8, Issue 2, 2017 · pp. 4–7 Read article
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Geo-spatial Predictions of Soil Organic Carbon: A Review
Abstract: Soil Organic Carbon (SOC) plays an important role in conservation of biophysical environment, i.e., biogeochemical cycles, soil fertility, water quality, atmospheric carbon control, temperature control, sustainable land management and food production. Geo-statistical techniques can be useful for precise estimations and preparation of high quality SOC maps essential for planning and monitoring the biophysical environment. Several studies have used geo-statistical techniques successfully for description of spatial patterns, quantitative modeling, spatial predictions …
Published in Journal of Remote Sensing & GIS · Vol. 5, Issue 2, 2014 · pp. 23–39 Read article
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QSAR Analysis on a Series of Triazole Based Tubulin Polymerization Inhibitors
Abstract: AbstractThe polymerization progression of microtubules is vital to their natural capacities. Polymerization flow allows microtubules to embrace spatial courses of action that can change quickly because of cell needs and, at times, to perform mechanical work. Compounds that interfere with the microtubule-tubulin equilibria in cells are helpful in the treatment of human diseases. A few triazoles mimics of combretastatin-benzothiazole (CAB) hybrids had good activity as inhibitors both of tubulin polymerization …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 4, Issue 2, 2017 · pp. 5–20 Read article
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Ligand Efficiency in Relation to 3D Physicochemical Characters of Novel HIV-1 Vif Antagonist: An Approach in The Optimization of HIV Drugs
Abstract: AbstractLigand efficiency is a design framework commonly used in drug discovery. Thirty-six (36) newly discovered 1,2,3-triazole analogues as potent new inhibitors of HIV-1 Vif were subjected to quantitative structure-property relationship (QSPR) modeling to predict their ligand efficiencies (LE) in an attempt to improve/optimize it by using some numerical data of HIV-1 Vif inhibitors based on their physical and chemical properties (descriptors). Various 3D physicochemical properties or descriptors were calculated from …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 9, Issue 3, 2022 · pp. 50–59 Read article
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Comparative Analysis of Neural Network and Linear Regression Applied to Black Friday Data
Abstract: AbstractIn this study, it compares two different types of neural networks. First is a single layer neural network and other is multiple hidden layer neural network. For just comparisons it is ensured that both uses the same activation and output functions and have the same number of nodes and parameters. The networks are trained by the gradient descent algorithm to approximate linear and quadratic functions and examine their convergence properties. …
Published in Current Trends in Signal Processing · Vol. 9, Issue 3, 2019 · pp. 1–4 Read article