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162 results for “linear regression”
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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 · 7,928 accessesView PDFCite
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 · 7,131 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 · 7,434 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 · 7,398 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetection of Rust Emergence in Coffee Plantations using Data Mining: A Systematic ReviewLenin Quiñones Huatangari, Candy Lisbeth Ocaña Zúñiga, Annick Estefany Huaccha Castillo et al.Hemileia vastatrix is a fungus that causes coffee rust disease and, depending on the level of severity, reduces the photosynthetic capacity of the plant and of new shoots, leading to low coffee yields and even death; its symptoms are visible on the leaf. Systems based on computer algorithms have been developed to predict diseases and pests in coffee. The objective … …OnLine Journal of Biological Sciences, Vol. 22, Issue 2 · 31 Mar 2022 · 8,028 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 · 8,113 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 · 7,761 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 · 7,298 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 · 7,828 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 · 6,583 accessesView PDFCite