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15 results for “initial regression”
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Research ArticleOpen accessIn the keywordsThe Euro: Future Prospects and Consideration for Non-Euro CountriesFarhad Ghannadian, Irina PenovskaProblem statement: Many more Central and Eastern European Countries (CEEC) have decided to adopt the euro. Given the attraction and uncertainties associated with moving into a common currency, the potential gains and losses of a currency adoption was of academic and political interest. The economic impact of implementing a common currency was examined by studying the before and after of … …American Journal of Economics and Business Administration, Vol. 3, Issue 2 · 7 Apr 2011 · 6,899 accessesView PDFCite
Research ArticleOpen accessIn the abstractDefect Classification of Reinforced Concrete Structures with Nondestructive Tests Using Statistical and Machine Learning MethodsSajjad Sayyar-Roudsari, Armaghan Shalbaftabar, Farshid Damirchilo et al.In this study, twelve reinforced concrete beams were constructed, each with specified dimensions and initial compressive strength. The beams were divided into four groups: A control group without any defect, a void group featuring a centrally located void, a corrosion group and a debonding group. The impact echo test was used for nondestructive testing, gathering data on compressive and shear … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 3 · 11 Jun 2024 · 5,258 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssociation of Remdesivir with Poor Clinical Outcomes in COVID-19-A Single Center ExperienceRajat Ranka, Arjun, Prasan Kumar Panda et al.The need for an antiviral against COVID-19 prompted clinical trials worldwide and based on initial promising trends, remdesivir was widely used, including in India (compassionate use). Subsequent trials have been conflicting in their results and the utility of the drug has been widely debated. This is a record-based retrospective cohort study in a 1000-bedded government teaching hospital in North India. … …American Journal of Pharmacology and Toxicology, Vol. 17, Issue 1 · 3 Jun 2022 · 7,210 accessesView PDFCite
Research ArticleOpen accessIn the abstractBiodegradation of 2, 4 DichlorophenolTaghreed Al-Khalid, Muftah H. El-NaasThe present study focuses on the optimization of process parameters of the aerobic biodegradation of 2, 4 Dichlorophenol (2, 4 DCP) by a commercial strain of P. putida immobilized in PVA gel matrix, using design of experiments by Response Surface Methodology (RSM). The degradation rates obtained from these experiments were used to evaluate the effects of the main factors and … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 1 · 12 Mar 2017 · 7,390 accessesView PDFCite
Research ArticleOpen accessIn the abstractAN 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
Research ArticleOpen accessIn the abstractEstimation Methods for Multicollinearity Proplem Combined with High Leverage Data PointsMoawad El-Fallah, Abd El-SallamProblem statement: Least Squares (LS) method has been the most popular method for estimating the parameters of a model due to its optimal properties and ease of computation. LS estimated regression may be seriously affected by multicollinearity which is a near linear dependency between two or more explanatory variables in the regression models. Although LS estimates are unbiased in the … …Journal of Mathematics and Statistics, Vol. 7, Issue 2 · 18 May 2011 · 7,617 accessesView PDFCite
Research ArticleOpen accessIn the abstractRobust Estimations as a Remedy for Multicollinearity Caused by Multiple High Leverage PointsArezoo Bagheri, Habshah MidiProblem statement: The Least Squares (LS) method has been the most popular technique for estimating the parameters of a model due to its optimal properties and ease of computation. LS estimated regression may be seriously disturbed by multicollinearity which is a near linear dependency between two or more explanatory variables in the regression models. Even though LS estimates are unbiased … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 8,247 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Effects of Recombinant Human Erythropoietin and Tamoxifen on Growth and Angiogenesis of Mammary Tumor in Sprague-Dawley RatA. K. Sairah, A. Rasedee, O. Sheikh et al.Problem statement: Erythropoietin receptor (EPOR) has been detected in breast cancer cells and speculated to be involved in cancer growth, viability and angiogenesis. This has risen suspicious that EPO administration may enhance the severity of cancer. Approach: This study was undertaken to determine the effects of rHuEPO, Tamoxifen and their combination on the growth and angiogenesis of mammary tumor. Female … …American Journal of Pharmacology and Toxicology, Vol. 4, Issue 1 · 31 Mar 2009 · 7,804 accessesView PDFCite
Research ArticleOpen accessIn the abstractNonlinear Growth Models for Modeling Oil Palm Yield GrowthAzme Khamis, Zuhaimy Ismail, khalid Haron, Ahmad Tarmizi MohammedThis study provided the basic needs of parameters estimation for nonlinear growth model such as partial derivatives of each model, determination of initial values for each parameter and statistical tests of industrial usage. Twelve nonlinear growth models and its partial derivatives for oil palm yield growth are presented in this study. The parameters are estimated using the Marquardt iterative method … …Journal of Mathematics and Statistics, Vol. 1, Issue 3 · 30 Sep 2005 · 15,101 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization and Prediction of Motorcycle Injection System Performance with Feed-Forward Back-Propagation Method Artificial Neural Network (ANN)La Ode Ichlas Syahrullah, Nazaruddin SinagaThis research studied the use of Artificial Neural Network (ANN) using feed-forward back-propagation model to optimize and predict the performance of a motorcycle fuel injection systems of gasoline. The parameters such as speed, throttle position, ignition timing and injection timing is used as the input parameters. While the parameters of fuel consumption and engine torque is used as the output … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 2 · 16 Feb 2016 · 13,784 accessesView PDFCite