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111 articles for “Linear Regression Model”
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Research ArticleOpen accessIn the abstractBuilding Energy Modeling Using Artificial Neural NetworksMaya Arida, Nabil Nassif, Rand Talib, Taher Abu-LebdehAccurate modeling of total building energy is now vital to reduce energy consumption. This is especially true for buildings since they are considered as the largest energy consumer in the United States. This paper investigates modeling methods for building energy-systems using non-linear auto-regression artificial neural networks. The proposed model can forecast the whole building energy consumptions given the four input … …Energy Research Journal, Vol. 7, Issue 2 · 6 Jun 2017 · 7,125 accessesView PDFCite
Research ArticleOpen accessIn the abstractUnivariate Generalized Additive Models for Simulated Stationary and Non-Stationary Generalized Pareto DistributionMostafa Behzadi, Mohd Bakri Adam, Anwar FitriantoGeneralized additive models as a predictor in regression approaches, are made up over cubic spline basis and penalized regression splines. Despite of linear predictor in GLM, generalized additive models use a sum of smooth functions of covariates as a predictor. The data which are used in this study have generalized Pareto distribution and have been simulated by inversion method. The … …Journal of Mathematics and Statistics, Vol. 13, Issue 2 · 3 Jun 2017 · 7,430 accessesView PDFCite
Research ArticleOpen accessIn the abstractThermodynamics, Non-Linear Isotherms, Statistical Modeling and Optimization of Phosphorus Adsorption from WastewaterAkinpelu Kamoru BabayemiPalm Kernel Shell (PKN), an eco-friendly biomass, was carbonized and activated for the removal of phosphorus from wastewater through batch adsorption process. The studies evaluate the effects of pH, particle size, dosage and contact time on the adsorption capacity of the prepared adsorbent. The equilibrium concentration data and the amount of adsorption were described using non-linear regression analysis of the … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 4 · 19 Nov 2016 · 7,512 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Interregional Freight Generation Modelling Methods by using Nationwide Commodity Flow Survey DataWirach HirunA trip generation model is one of the four parts of the classical transport planning model, which explores the volume of trip or freight at the originating and destination points of a traffic analysis zone. The process of calibrating a trip generation model needs appropriate data. Freight transport data are always robust and a powerful calibration technique is required to … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 3 · 18 Aug 2016 · 8,107 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,755 accessesView PDFCite
Review ArticleOpen accessIn the abstractEgg Consumption among Young People: A Study through the Application of the Logistic Regression ModelCarlo Giannetto, Angela Alibrandi, Agata Zirilli, Maurizio LanfranchiThe purpose of the present survey is to study and to investigate the proper eating style, focusing the attention on the propensity to “egg” consumption, in the diet of young people, with reference to the students attending the University of Messina. The data collection technique that was used consisted of the administration of a distributed anonymous ad hoc questionnaire by … …American Journal of Applied Sciences, Vol. 13, Issue 6 · 24 Jun 2016 · 7,290 accessesView PDFCite
Research ArticleOpen accessIn the abstractCorrelation Based ADALINE Neural Network for Commodity TradingJ. Chandra, M. Nachamai, Anitha S. PillaiCommodity trading is one of the most popular resources owning to its eminent predictable return on investment to earn money through trading. The trading includes all kinds of commodities like agricultural goods such as wheat, coffee, cocoa etc. and hard products like gold, rubber, crude oils etc.,. The investment decision can be made very easily with the help of the … …Journal of Computer Science, Vol. 11, Issue 7 · 29 Oct 2015 · 7,825 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalyzing the Role of Computerized Accounting Usefulness with Quantile RegressionQuang Linh HuynhPrevious research has examined the determinants resulting in the implementation of computerized accounting, mainly relying on the Generalized Linear Model (GLM), based on the conditional mean of dependent variables. The aim of this document is to analyze the implementation of computerized accounting systems with the quantile regression. Additionally, it attempts to study the mediating role of the perceived usefulness of … …American Journal of Applied Sciences, Vol. 12, Issue 9 · 14 Oct 2015 · 6,580 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of the Propensity to Fruit Consumption among Young People through the Cumulative Proportional Odds ModelMaurizio Lanfranchi, Carlo Giannetto, Angela Alibrandi, Agata ZirilliAfter in-depth studies, the World Health Organization (WHO), asserts and suggests that in order to improve human health and well-being it is necessary to eat 400 grams of fruit and vegetables on a daily basis, as well as to consume potatoes and other starchy tubers such as manioc. In Europe, recommendations vary from country to country. Generally, these suggestions are … …American Journal of Applied Sciences, Vol. 12, Issue 8 · 4 Sep 2015 · 6,580 accessesView PDFCite
Research ArticleOpen accessIn the abstractE-loyalty and Business to Business (B2B) E-Commerce Success: Applied Study on Sample of E-Retailers in Amman City, JordanAhed Al-Haraizah, Baha`a Al-NadyThis research paper investigates the antecedents and consequences of customer loyalty in an online business-to-business e-commerce context. Moreover, this research identifies two key factors of e-loyalty (attitudinal and behavioral loyalty) that potentially impact business to business e-commerce success within e-retailers in Amman city. Therefore, the aim of this research paper is to develop a comprehensive research model utilized for discovering … …American Journal of Economics and Business Administration, Vol. 7, Issue 3 · 2 Sep 2015 · 7,872 accessesView PDFCite