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143 results for “least square”
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Research ArticleOpen accessIn the abstractGovernment Expenditure and School Efficiency and Productivity Change: A Case of Public Primary Schools in KenyaMutinda Mutuku, Julius Korir, Dianah Ngui-MuchaiEducation management is a more labor intensive process previously measured by level of school enrolment and education quality with low or no concern on productivity and efficient resource utilization. Trends in increasing government allocation to education sector demonstrate a positive impact on enrolment, education quality and efficiency levels determined in the study. However, there was a gap on how government … …Journal of Social Sciences, Vol. 15, Issue 1 · 17 Apr 2019 · 8,446 accessesView PDFCite
Research ArticleOpen accessIn the abstractBinding Mechanism of Bovine Serum Albumin to Troxerutin by Synchronous Fluorescence Spectroscopy and ChemometricsTianhu Wang, Yi Yan, Yinsheng LuoPrevious works have reported the binding of Bovine Serum Albumin (BSA) to troxerutin by absorption and fluorescence spectroscopy. In order to extend the investigation of their binding characteristics, the study presented here was designed to evaluate their interaction by the synchronous fluorescence spectroscopy and Multivariate Curve Resolution With Alternating Least Squares (MCR-ALS) under simulative physiological conditions. The Evolving Factor Analysis … …American Journal of Biochemistry and Biotechnology, Vol. 12, Issue 2 · 14 May 2016 · 7,449 accessesView PDFCite
Research ArticleOpen accessIn the abstractGeneral Linear Models in a Missing Outcome Environment of Clinical Trials Incorporating with Splines for Time-Invariant Continuous AdjustmentMinjeong Park, Dejian Lai, Xianglin L. Du et al.Missing data is a common occurrence in longitudinal studies of health care research. Although many studies have shown the potential usefulness of current missing analyses, e.g., (1) Complete Case (CC) analysis; (2) imputation methods such as Last Observation Carried Forward (LOCF), multiple imputations, Expectation-Maximization algorithm approach; and (3) methods using all available data such as linear mixed model and generalized … …Current Research in Biostatistics, Vol. 5, Issue 1 · 18 Aug 2015 · 7,401 accessesView PDFCite
Research ArticleOpen accessIn the abstractRural and Urban Attitudes toward Immigrants in the U.S. Midwest and Great PlainsMiguel Ceballos, Oksana Yakushko, Courtney LyonsRecent immigration has transformed much of the Midwest and Great Plains regions of the United States, affecting its rural and urban areas through dramatic increases in the foreign-born population and in particular Latino immigrant populations. This study examines three theories of prejudice: Perceptions of threat, contact with immigrants and a cosmopolitanism outlook, in predicting rural and urban attitudes toward immigrants … …Journal of Social Sciences, Vol. 10, Issue 4 · 7 Jan 2015 · 8,287 accessesView PDFCite
Research ArticleOpen accessIn the abstractA NOVEL ROBUST AND EFFICIENT TOOL FOR DETECTING HETEROSCEDASTICITYWei Xiong, Maozai TianOne of the greatest values of Quantile Regression (QR) is that it provides a good procedure in the sense that QR could be much more efficient and sometimes arbitrarily more efficient in recovering the mean function than the Least Squares (LS) even when without moment conditions. However, heteroscedasticity definitely causes conditional variances of parametric or nonparametric estimates of mean functions … …Journal of Mathematics and Statistics, Vol. 10, Issue 2 · 21 Mar 2014 · 6,657 accessesView PDFCite
Research ArticleOpen accessIn the abstractPERFORMANCE OF RIDGE REGRESSION ESTIMATOR METHODS ON SMALL SAMPLE SIZE BY VARYING CORRELATION COEFFICIENTS: A SIMULATION STUDYAnwar Fitrianto, Lee Ceng YikWhen independent variables have high linear correlation in a multiple linear regression model, we can have wrong analysis. It happens if we do the multiple linear regression analysis based on common Ordinary Least Squares (OLS) method. In this situation, we are suggested to use ridge regression estimator. We conduct some simulation study to compare the performance of ridge regression estimator … …Journal of Mathematics and Statistics, Vol. 10, Issue 1 · 3 Jan 2014 · 8,540 accessesView PDFCite
Research ArticleOpen accessIn the abstractInflation and Financial Development: EvidenceEmmanuel Nii AbbeyThe study examined the impact of inflation on financial development in Ghana using quarterly time series data (1990-2008). It was in line with the empirical works that provided support for the proposition that inflation affects financial development negatively. While price stability has been emphasized in the literature to be the best antidote in addressing the problem, recent evidence of disagreements … …American Journal of Economics and Business Administration, Vol. 4, Issue 4 · 6 Jul 2013 · 7,912 accessesView PDFCite
Research ArticleOpen accessIn the abstractEVIDENCE OF THE ENVIRONMENTAL KUZNETS CURVE: IMPLICATIONS OF INDUSTRIAL TRADE DATAJamalludin Sulaiman, Azlinda Azman, Behnaz SabooriThis study examines the dynamic relationship between CO2 emissions and economic growth in Malaysia for the period of 1980-2004. The evidence of the Environmental Kuznets Curve (EKC) is tested by including energy consumption, dirty export from Malaysia to China and dirty import from China to Malaysia based on the two and three-digit ISIC data which reflect pollution-intensive manufacturing. Using dirty … …American Journal of Environmental Sciences, Vol. 9, Issue 2 · 26 Mar 2013 · 7,251 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesigning of Child Growth Chart Based on Multi-Response Local Polynomial ModelingNur Chamidah, I. Nyoman Budiantara, Sony Sunaryo, Ismaini ZainProblem statements: Anthropometry measures used to measure physical children growth are not onlyweight but also height and head circumference. In this study we develop the estimation of multi-response localpolynomial regression and apply it to design growth chart for children up to five years old based on three responsevariables i.e., weight, height and head circumference. Approach: Based on local polynomial estimator, … …Journal of Mathematics and Statistics, Vol. 8, Issue 3 · 4 Sep 2012 · 7,506 accessesView PDFCite
Research ArticleOpen accessIn the abstractCurve Fitting Using Conic by Evolutionary ComputingZainor Ridzuan Yahya, Abd Rahni Mt Piah, Ahmad Abd MajidProblem statement: A direct method, such as least squares technique is usually used to solve problems involving matching a curve or a surface to a set of data points. The solution obtained by this direct method is precise or very good in approximation, but computationally not very efficient. Thus, in this study, we propose an indirect approach using Particle Swarm … …Journal of Mathematics and Statistics, Vol. 8, Issue 1 · 7 Feb 2012 · 6,951 accessesView PDFCite