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23 results for “empirical power”
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Research ArticleOpen accessIn the abstractEVALUATION OF THE ADEQUACY OF THE WIND SPEED EXTRAPOLATION LAWS FOR TWO DIFFERENT ROUGHNESS METEOROLOGICAL SITESDalila Khalfa, Abdelouaheb Benretem, Lazher Herous, Issam MeghlaouiIncreasing knowledge on wind shear models to strengthen their reliability appears as a crucial issue, markedly for energy investors to accurately predict the average wind speed at different turbine hub heights and thus the expected wind energy output. This is particularly helpful during the feasibility study to abate the costs of a wind power project. The extrapolation laws were found … …American Journal of Applied Sciences, Vol. 11, Issue 4 · 1 Feb 2014 · 7,445 accessesView PDFCite
Research ArticleOpen accessIn the abstractRandom Forest Based Feature Selection of Macroeconomic Variables for Stock Market PredictionIsaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam WeyoriA firm’s equity price on the stock-market is reported to be closely related to the Macroeconomic Variable (MVs) of the country in which the firm trades. For this reason, researchers, market traders, financial analysts and forecasters to examine the association between MVs and stock-price have carried out numerous studies, using time-series statistical analysis methods like Autoregressive Integrated Moving Average (ARIMA), … …American Journal of Applied Sciences, Vol. 16, Issue 7 · 31 Jul 2019 · 10,240 accessesView PDFCite
Research ArticleOpen accessIn the abstractFactor Analysis, Target Factor Testing and Model Designing of Aromatic Solvent Effect of the Formyl Proton Nuclear Magnetic Resonance Chemical Shift in Para substituted BenzaldehydesGhazwan F. FadhilProblem statement: The variations of formyl proton Chemical Shifts (CS) of p-substituted benzaldehydes in aromatic solvents were investigated. The validity of several physical solvent and empirical solvent scales was examined. Also, to predict dipolarity-polarizability (π*) solvent scale for some aromatic solvents. Model designing was also achieved to rationalize the aromatic solvent effect on the formyl proton CS. Approach: The previously … …American Journal of Applied Sciences, Vol. 7, Issue 1 · 31 Jan 2010 · 7,586 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Boko Haram Terrorism: Causes Still MisunderstoodSogo Angel Olofinbiyi, Jean SteynThere have been widespread assumptions across the globe that the root cause of Boko Haram terrorism in Nigeria is religious rather than socio-economic. An investigation into this dichotomy allowed this study to fully demonstrate that the root cause of Boko Haram’s terrorist actions emanates from the non-fulfilment of socio-economic goals that are prompted by the violation of fundamental human rights, … …Journal of Social Sciences, Vol. 14, Issue 1 · 30 Mar 2018 · 10,113 accessesView PDFCite
Literature ReviewOpen accessIn the abstractOmission of Men from Gender-Development Theory and Praxis: A Pathway for Addressing the Plights of Women?Thomas Yeboah, Richard Serbeh, Peter BembirWithin the gender-development discourse, there have been widespread concerns in relation to the neglect of women in benefitting from the process and outcomes of development. This has led in part to the proliferation of policy programming designed for women to achieve gender equality while ensuring that women benefit proportionally from development. However the extent to which gender-based interventions will succeed … …Journal of Social Sciences, Vol. 11, Issue 1 · 25 Apr 2015 · 7,786 accessesView PDFCite
Research ArticleOpen accessIn the abstractApproaches to Learning in First Year University PhysicsRachel Wilson, Steve Georgakis, Manjula SharmaProblem statement: In recent decades, discipline specific ways of thinking and knowing have gained increased recognition in understanding learning. However, there has been little empirical research examining student approaches to learning within specific disciplines or, even more specifically, within different streams of study or in response to different curriculum within a discipline. Approach: The aim of this study was to … …Journal of Social Sciences, Vol. 8, Issue 2 · 25 Feb 2012 · 9,219 accessesView PDFCite
Research ArticleOpen accessIn the abstractConsumer Choice Prediction: Artificial Neural Networks versus Logistic ModelsChristopher Gan, Visit Limsombunchai, Mike Clemes, Amy WengConventional econometric models, such as discriminant analysis and logistic regression have been used to predict consumer choice. However, in recent years, there has been a growing interest in applying artificial neural networks (ANN) to analyse consumer behaviour and to model the consumer decision-making process. The purpose of this paper is to empirically compare the predictive power of the probability neural … …Journal of Social Sciences, Vol. 1, Issue 4 · 31 Dec 2005 · 8,444 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing Neutral Network in Predicting Corporate FailureHuong G. NguyenThis study investigates the predictive power of three neutral network models: Multi-layer neural network, probabilistic neural network, and logistic regression model in predicting corporate failure. Basing on the database provided by The Corporate Scorecard Group (CSG), we combine financial ratios which deem to be significant predictors of corporate bankruptcy in many previous empirical studies to build our predictive models and … …Journal of Social Sciences, Vol. 1, Issue 4 · 31 Dec 2005 · 7,327 accessesView PDFCite
Research ArticleOpen accessIn the abstractHouse Price Prediction: Hedonic Price Model vs. Artificial Neural NetworkVisit Limsombunchai, Christopher Gan, Minsoo LeeThe objective of this study is to empirically compare the predictive power of the hedonic model with an artificial neural network model for house price prediction. A sample of 200 houses in Christchurch, New Zealand is randomly selected from the Harcourt website. Factors including house size, house age, house type, number of bedrooms, number of bathrooms, number of garages, amenities … …American Journal of Applied Sciences, Vol. 1, Issue 3 · 30 Sep 2004 · 9,606 accessesView PDFCite
Research ArticleOpen accessIn the abstractSolving Linear Programming Problems on the Parallel Virtual Machine EnvironmentJrJung Lyu, Hsing Luh, Ming-Chang LeeThis study developed a parallel algorithm to efficiently solve linear programming models. The proposed algorithm utilizes the Dantzig-Wolfe Decomposition Principle and can be easily implemented in a general distributed computing environment. The analytical performance of the well-known method, including the speedup upper bound and lower bound limits, was derived. Numerical experiments are also provided in order to verify the complexity … …American Journal of Applied Sciences, Vol. 1, Issue 2 · 30 Jun 2004 · 7,841 accessesView PDFCite