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79 articles for “Empirical Models”
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Research ArticleOpen accessIn the abstractLog data Approach to Acquisition of Optimal Bayesian Learner ModelChoo-Yee Ting, Somnuk Phon-AmnuaisukLog data provide valuable insight into observable behavioural patterns, which could be inferred to study a learner’s cognitive processes, levels of motivation and levels of knowledge acquisition. To date, most of the research work has been devoted to study the different methods to analyze and interpret log data. Little attention, however, has been given to use log data as a … …American Journal of Applied Sciences, Vol. 6, Issue 5 · 31 May 2009 · 7,082 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultivariate Modelling of the Canary Islands Banana Output. The Role of Farmer Income ExpectationConcepción González Concepción, María Candelaria Gil-Fariña, Celina Pestano-GabinoThe EU is the world‘s largest importer of bananas and the only major managed market in the international banana trade. Spain is the main banana producer within the European Union (EU), followed by France and Portugal. In all these countries the fruit is grown in overseas islands situated in tropical or sub-tropical areas and bananas are a pillar of the … …Journal of Social Sciences, Vol. 4, Issue 2 · 30 Jun 2008 · 7,769 accessesView PDFCite
Research ArticleOpen accessIn the abstractSome Algorithms to Identify Rational Structures in Stochastic Processes with ExpectationsConcepción González-Concepción, María Candelaria Gil-Fariña, Celina Pestano-GabinoThis research was concerned with the identification of rational models in stochastic processes and we use the Padé-Laurent Approximation to identify a Transfer-Function Model with Expectations. We mention the T-table method and focus in studying the generalised epsilon-algorithm, emphasizing the main role of the statistical significance of their numerical entries. Empirical work is made for non-causal TF models using both … …Journal of Mathematics and Statistics, Vol. 3, Issue 4 · 31 Dec 2007 · 6,754 accessesView PDFCite
Research ArticleOpen accessIn the abstractMotivations for Remittances and Philanthropy – Lessons from a Qualitative Meta-Synthesis of LiteratureSabith Khan, Daisha M. MerrittWhy do people send remittances? Also, what are the motivations for diaspora philanthropy? While each of these questions have been addressed by scholars in different way – with the most influential theories suggesting that ‘identification’ is the key theme that explains each of these phenomenon, we contend that there is much more than purely ‘identification’ with the recipients that is … …Journal of Social Sciences, Vol. 14, Issue 1 · 3 Mar 2018 · 8,370 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Investigation of Causality between Advertising and Operating Activity: Macro and Micro Evidence from JapanKosei FukudaThe relationship between advertising and operating activity is one of the topical issues in marketing and economic research. However, micro data have not been analyzed. In this paper, causality between them is empirically examined by using macro and micro data and applying four models-conventional Vector Autoregressive (VAR) model, vector error correction model, homogeneous parameter panel VAR model and heterogeneous parameter … …American Journal of Economics and Business Administration, Vol. 7, Issue 1 · 29 May 2015 · 6,474 accessesView PDFCite
Research ArticleOpen accessIn the abstractObservation Modeling for Continuous Predicting Global and Diffuse Solar Radiation on Horizontal SurfaceSomporn Hongkong, Singthong PattanasethanonMathematical modeling for continuous prediction of solar energy is inevitable for energy systems. General, existing models are mostly empirical and data dependent. This article has to present a variable model for predicting global and diffuse solar radiation on the horizontal plane. The model considered in this study has applied Hidden Markov Model (HMM) with two observations. The databases were measured … …American Journal of Environmental Sciences, Vol. 9, Issue 3 · 23 May 2013 · 6,799 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Growth of Small Businesses: Towards A Research AgendaAkin FadahunsiProblem statement: The central objective of this study is to help define a framework for researching the growth of small businesses. Approach: By way of a literature review, the study evaluates current research approaches to small business growth organized around the "key factors" framework proposed which include elements drawn from the characteristics of the entrepreneur, the firm and the business … …American Journal of Economics and Business Administration, Vol. 4, Issue 1 · 26 Mar 2012 · 9,950 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 · 7,624 accessesView PDFCite
Research ArticleOpen accessIn the abstracte-Choupal: Hope or Hype?Neeraj Dangi, Harjit SinghProblem statement: This case looked at the cost benefit factor of e-Choupal model in rural India from socio-economic perspective since it is being projected as one of the models of rural empowerment. Questions were raised whether its growth both horizontally and vertically might be detrimental to sustainability of traditional agrarian economy. It also examined the role of ICT and government … …American Journal of Economics and Business Administration, Vol. 2, Issue 2 · 30 Jun 2010 · 8,336 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 · 8,251 accessesView PDFCite