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241 results for “Analysis and Prediction”
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Research ArticleOpen accessAll words, across the recordRetail Bankruptcy PredictionJohnny Pang, Mark KogelThis study reintroduces the famous discriminant functions from Edward Altman and Begley, Ming and Watts (BMW) that were used to predict bankrupts. We will formulate three new discriminant functions which differ from Altman’s and BMW’s re-estimated Altman model. Altman’s models as well as Begley, Ming and Watts’s re-estimated Altman model apply to publicly traded industries, whereas the new models formulated … …American Journal of Economics and Business Administration, Vol. 5, Issue 1 · 13 Sep 2013 · 7,479 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordUsing Regression to Establish Weights for a Set of Composite Equations through a Numerical Analysis Approach: A Case of Admission Criteria to a CollegeRamzi Naim Nasser, Viviane NaimyProblem statement: Mathematically little is known of college admission criteria as in school grade point average, admission test scores or rank in class and weighting of the criteria into a composite equation. Approach: This study presented a method to obtain weights on “composite admission” equation. The method uses an iterative procedure to build a prediction equation for an optimal weighted … …Journal of Mathematics and Statistics, Vol. 6, Issue 3 · 30 Sep 2010 · 7,185 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPrediction of Seismic Active Earth Pressure Using Curved Failure Surface with Localized StrainHemanta HazarikaProblem statement: Correct evaluation of the earth pressure against retaining structure during earthquake is essential for the safe and economic design of geotechnical structures. Progressive deformation in the backfill and the assumed shape of failure wedge affect the calculated values of seismic earth pressures. However, no research until now is available that considers both of these two factors in an … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 3 · 30 Sep 2009 · 7,550 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEffect of Manufacturing Stresses to Die Attach Film Performance In Quad Flatpack No-Lead Stacked Die PackagesM. F. Rosle, I. Abdullah, S. Abdullah et al.Problem statement: Repeated heat cure during assembly processes affected the Die Attach Film (DAF) material properties and the effectiveness touched area that leads to weak die bonding and delamination. Suitable die attached condition and DAF material selection had been evaluated to achieve required reliability performance in the manufacturing of the 3D Quad Flat No-Lead (QFN) stacked die package. Approach: During … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 1 · 31 Mar 2009 · 8,054 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAnalysis of Cross and Single Sided Naturally Ventilated Rooms Using CFDK. Visagavel, P. S.S. SrinivasanNatural ventilation contributes to the improvement of thermal comfort and quality conditions of the internal air, while at the same time it is recognized as a very efficient technique that, when applied properly. The present project refers to the numerical prediction of air velocities in cross and single-sided naturally ventilated rooms, which are considered along with atmospheric zone. Continuity and … …American Journal of Environmental Sciences, Vol. 3, Issue 4 · 31 Dec 2007 · 6,741 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordData-Driven Forecasting Schemes: Evaluation and ApplicationsJosip Vrbanek Jr, Wilson WangA reliable multi-step predictor is very useful to a wide array of applications to forecast the behavior of dynamic systems. The objective of this paper is to develop a more robust data-driven predictor for time series forecasting. Based on simulation analysis, it is found that multi-step-ahead forecasting schemes based on step inputs perform better than those based on sequential inputs. … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 6,568 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordForce Prediction Model for Milling 618 Stainless Steel Using Response Surface MethodologyK. Kadirgama, K A. Abou-El-HosseinThis paper describes the development of a response model (cutting force) for milling 618 stainless steel utilizing response surface methodology. The cutting force model is developed in terms of cutting speed, feed rate, axial depth and radial depth. The cutting force contours have been generated from these model equations and are shown of different plots. The model generated show that … …American Journal of Applied Sciences, Vol. 2, Issue 8 · 31 Aug 2005 · 6,700 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSoil Degradation Risk Prediction Integrating RUSLE with Geo-information Techniques, the Case of Northern Shaanxi Province in ChinaMushtak T. Jabbar, Xiaoling ChenThis research integrated the Revised Universal Soil Loss Equation (RUSLE) with RS, GIS and GPS techniques to quantify soil erosion risk and the northern part of Shaanxi province in China was taken as a case. A system was established for rating soil erodibility, slope length/gradient, rainfall erosivity and conservation practices. The rating values served as inputs into a modified Revised … …American Journal of Applied Sciences, Vol. 2, Issue 2 · 28 Feb 2005 · 7,052 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSurface Roughness Prediction Model in Machining of Carbon Steel by PCD Coated Cutting ToolsYusuf Sahin, A. Riza MotorcuThe surface roughness model in the turning of AISI 1040 carbon steel was developed in terms of cutting speed, feed rate and depth of cut using response surface methodology. Machining tests were carried out using PVD-coated tools under different cutting conditions. The surface roughness equations of cutting tools when machining the carbon steels were achieved by using the experimental data. … …American Journal of Applied Sciences, Vol. 1, Issue 1 · 31 Mar 2004 · 7,968 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordComparative Analysis of the Artificial Neural Networks Options Pricing Model Under Constant and Time-Variant VolatilitiesHanningtone Meshack Simiyu, Anthony Gichuhi Waititu, Jane Aduda AkinyiOption pricing using artificial neural networks (ANN) model while relaxing the assumption of constant volatility still remains a challenge. The conventional practice for pure ANN models has been to either model volatility using the very ANN model and have the model output fed as an input to the ANN option pricing model, or to make allowances for a large number … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 20 Jul 2019 · 7,015 accessesView PDFCite