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8 results for “Ordinary Least Squares Method”
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Research ArticleOpen accessIn the keywordsTaxation of End Consumption: Effect on Country Economies and its CharacteristicsRavil Gabdullaevich Akhmadeev, Mikhail Evgenievich Kosov, Olga Alekseevna Bykanova et al.International experience of the largest countries' economies of the last decade demonstrates that the use of Value Added Tax (VAT) in taxation of consumption is used more actively and is gradually squeezing out the sales tax. In most countries of the world VAT ensures between 12 and 30% of stable budget revenues. Taking statistical data selected with the help of … …American Journal of Applied Sciences, Vol. 14, Issue 3 · 18 Mar 2017 · 7,626 accessesView PDFCite
Research ArticleOpen accessIn the abstractLivelihood and Resource Interaction of Households in Itu Wetland, NigeriaDaniel Etim Jacob, Imaobong Ufot Nelson, Juliet Oluwaseun DicksonThe study empirically assessed theinteractions between the Itu wetland resource of Akwa Ibom State and thelivelihoods of the communities within it. A two-stagesampling method involving purposive sampling of 30% (6 communities) based onproximity to the resource and random selection of 30 households from the selectedcommunities was utilized. In addition, 118 respondents were sampled using asemi-structured questionnaire. The outcome of the … …American Journal of Environmental Sciences, Vol. 18, Issue 5 · 3 Nov 2022 · 5,841 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 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 abstractTime-Delay Estimation using the Characteristic Roots of Delay Differential EquationsSun Yi, Wonchang Choi, Taher Abu-LebdehProblem statement: For ordinary dynamic systems (i.e., non-delayed), various methods such as linear least-squares, gradient-weighted least-squares, Kalman filtering and other robust techniques have been widely used in signal processing, robotics, civil engineering. On the other hand, time-delay estimation of systems with unknown time-delay is still a challenging problem due to difficulty in formulation caused. Approach: The presented method makes use … …American Journal of Applied Sciences, Vol. 9, Issue 6 · 7 Apr 2012 · 8,082 accessesView PDFCite
Research ArticleOpen accessIn the abstractLinear Regression Model Selection Based on Robust Bootstrapping TechniqueHassan S. Uraibi, Habshah Midi, Bashar A. Talib, Jabar H. YousifProblem statement: Bootstrap approach had introduced new advancement in modeling and model evaluation. It was a computer intensive method that can replace theoretical formulation with extensive use of computer. The Ordinary Least Squares (OLS) method often used to estimate the parameters of the regression models in the bootstrap procedure. Unfortunately, many statistics practitioners are not aware of the fact that … …American Journal of Applied Sciences, Vol. 6, Issue 6 · 30 Jun 2009 · 7,876 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Performance of Latent Root-M based RegressionHabshah Midi, Lau Ung HuaProblem statement: In the presence of multicollinearity, the estimation of parameters in multiple linear regression models by means of Ordinary Least Squares (OLS) is known to suffer severe distortion. An alternative approach was to use the modified OLS which was based on the latent roots and latent vectors of the correlation matrix of the independent and dependent variables. This procedure … …Journal of Mathematics and Statistics, Vol. 5, Issue 1 · 31 Mar 2009 · 8,654 accessesView PDFCite
Research ArticleOpen accessIn the abstractTime-series Evidence for Export-led Growth Paradigm: A Case Study of ZimbabweCyril A. OgbokorThe study addresses empirically the Export-led Growth Hypothesis (ELGH) using Zimbabwe as a case study. This research work attempts to provide some evidence in this regard by examining the influence of trade on economic growth in the economy and ascertaining if the regressors utilised are good predictors of growth. Ordinary Least Squares (OLS) method is resorted in order to estimate … …Journal of Social Sciences, Vol. 1, Issue 2 · 30 Jun 2005 · 7,453 accessesView PDFCite