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43 results for “Model Fitting”
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Research ArticleOpen accessIn the abstractAdsorption Study of Several Hydrophobic Organic Contaminants on an Aquifer MaterialBarbara Ruffino, Mariachiara ZanettiProblem statement: Aim of the present research was to determine coefficient of partition KD between soil and groundwater for five hydrophobic organic pollutants (benzene, chlorobenzene, trichloroethylene-TCE, perchloroethylene-PCE and toluene) in an Italian aquifer material characterized by a low organic carbon content (fOC = 0.00262) by means of laboratory batch tests. Initial aqueous concentrations (quite different among the five compounds) were … …American Journal of Environmental Sciences, Vol. 5, Issue 4 · 31 Aug 2009 · 7,366 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetermination of Kinetic Correction Coefficient of Fluid Flow Using a Generic Multiple Orifice Physical Scale Model StructureEmmanuel M. AdigioProblem statement: Diesel particulate filters are fast becoming integral parts of diesel engines, light and heavy duty, due to their potential in the reduction of particulate matter from exhaust gases and their noise muffling property. Consequently, several researchers are developing mathematical models for the study of fluid flow through the filter substrate and in the aiding of filter systems design. … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 2 · 30 Jun 2009 · 7,553 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Generalized Discrete-Time Long Memory Volatility Model for Financial Stock ExchangeChin Wen CheongWe proposed a simple way to combine a few long memory models in financial market volatility modeling using daily, range and high frequency data. This model was able to fit the return, range of daily return or realized volatility under a parametric heavy-tailed distribution. Model was flexible to include additional volatility information as the contemporaneous variables. Empirical results found that … …American Journal of Applied Sciences, Vol. 4, Issue 12 · 31 Dec 2007 · 6,869 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling of Stress- Strain Curves of Drained Triaxial Test on SandAwad Al- Karni, Abdulhafiz AlshenawyThis paper presents a hyperbolic mathematical model to predict the complete stress-strain curve of drained triaxial tests on uniform dense sand. The model was formed in one equation with many parameters. The main parameters that are needed to run the model are the confining pressure, angle of friction and the relative density. The other parameters, initial and final slopes of … …American Journal of Applied Sciences, Vol. 3, Issue 11 · 30 Nov 2006 · 6,838 accessesView PDFCite
Research ArticleOpen accessIn the abstractCreating Improved Models of Business Processes Through Statistical Analysis of Customer Orders with Multiple Types of ComplexityRaschid Ijioui, Heike Emmerich, Jürgen Hubert, Frank SchillerTo gain a better understanding of the internal work processes in service-oriented supply chains, it is very important to design models that are able to realistically describe the components of the supply chain. To meet this goal, it is necessary to find suitable statistical distributions of the processing times for the orders passing the chain. In this article we examine … …Journal of Mathematics and Statistics, Vol. 1, Issue 3 · 30 Sep 2005 · 6,854 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 abstractBayesian Methods for Ranking the Severity of Apnea among PatientsNur Zakiah Mohd Saat, Kamarulzaman Ibrahim, Abdul Aziz JemainProblem statement: Studies on apnea patients are often carried out based on data obtained from the sleep study. This data is quite scarce since high cost is required for conducting the study. Bayesian method is particularly suitable for analyzing limited data as it allows for updating of information by combining the current information with the prior belief. Approach: In this … …American Journal of Applied Sciences, Vol. 7, Issue 2 · 28 Feb 2010 · 7,550 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of ZnO on Dielectric Properties and Electrical Conductivity of Ternary Zinc Magnesium Phosphate GlassesS. F. Khor, Z. A. Talib, H. A.A. Sidek et al.Five different compositions of the ternary system (ZnO)x(MgO)30(P2O5)70-x containing 8, 10, 13, 15 and 18 moL% of ZnO were prepared by the melt quenching technique. The complex permittivity studies were presented in the frequency range of 0.01 Hz to 1 MHz and over the temperature range of 303-573 K. The empirical data were analyzed by means of the curve-fitting technique … …American Journal of Applied Sciences, Vol. 6, Issue 5 · 31 May 2009 · 8,240 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomatic Calibration of Frequency Compensation System in Computer-Controlled Patch-Clamp AmplifierJun Xiong, Gang Hu, Anlian QuComputer-controlled patch-clamp amplifier is a digitally controlled analog device used to record the cellular ion channel currents in electrophysiology research. The inherent bandwidth and performance of the headstage is limited by the stray capacitance and distributed capacitance across the feedback resistors. In order to effectively improve the performance of the headstage, the paper advanced a simplified automatic calibration method of … …Journal of Computer Science, Vol. 3, Issue 10 · 31 Oct 2007 · 6,814 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAN EFFECTIVE TECHNIQUE OF MULTIPLE IMPUTATION IN NONPARAMETRIC QUANTILE REGRESSIONYanan Hu, Qianqian Zhu, Maozai TianIn this study, we consider the nonparametric quantile regression model with the covariates Missing at Random (MAR). Multiple imputation is becoming an increasingly popular approach for analyzing missing data, which combined with quantile regression is not well-developed. We propose an effective and accurate two-stage multiple imputation method for the model based on the quantile regression, which consists of initial imputation … …Journal of Mathematics and Statistics, Vol. 10, Issue 1 · 4 Jan 2014 · 6,813 accessesView PDFCite