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186 articles for “empirical approach”
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Research ArticleOpen accessPhrase in the titleAdults' Demand for the Internet use in the USA: An Empirical ApproachIsmail H. Genc, Hasan Sahin, Robert W. StoneAcademic literature regarding the factors influencing Internet use is presented. Based on this literature, a theoretical model of the demand for the use of the Internet is developed. The estimation of the demand for Internet use in the U.S. is performed using logit and probit. The model includes explanatory variables such as gender, race, income, age, educational level, marital status, … …Journal of Mathematics and Statistics, Vol. 2, Issue 1 · 31 Mar 2006 · 6,853 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA Causal Relationship between Inflation and Productivity: An Empirical Approach for RomaniaNikolaos DritsakisThis study attempts to analyze the relationship between the productivity and the inflation of a transition country of the European Union as Romania. For this purpose we use quarterly data since 1990: IV in 2003: I and the causality analysis, which is based on an error correction model. The results of the empirical analysis showed that there is a causal … …American Journal of Applied Sciences, Vol. 1, Issue 2 · 30 Jun 2004 · 7,094 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleSeeking an Alternative Modality to the Management of Nigeria's Fertilizer Subsidy Scheme-An Empirical Approach to the Case Study of Ondo State (1976-1996)Victor O. Asekunowo, Grace T. Olutunla, Adebiyi G. DaramolaProblem statement: The objective of Nigeria’s fertilizer subsidy scheme was to make inorganic fertilizers readily available to farmers at affordable prices in order to boost food production in the country. Shortly into the scheme, farmers complained that fertilizers were not received at the time of need and in sufficient quantities. Approach: Using Ondo State, Nigeria as a case study, to … …Journal of Social Sciences, Vol. 6, Issue 3 · 30 Sep 2010 · 7,831 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleMacroeconomic Variables Analysis in Ukraine: An Empirical Approach with Cointegration MethodNikolaos Dritsakis, Katerina GialetakiThis study investigates the relationship among exports, economic growth, investments and employment in a former country of the Soviet Union such as Ukraine. The purpose of this study was to examine the long-run relationship between these variables using quarterly data for the period 1991:I-2000:IV and applying the cointegration analysis as suggested by Johansen and Juselious. Then a multivariate autoregressive vector … …American Journal of Applied Sciences, Vol. 2, Issue 4 · 30 Apr 2005 · 6,706 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleVolatility in Malaysian Stock Market: An Empirical Study Using Fractionally Integrated ApproachChin Wen CheongThis study explores the fractionally integrated (FI) time series analysis in Malaysian stock market. Four proxies of latent volatility, namely the absolute return, squared return and range-based (Parkinson and Garman and Klass) volatilities are selected for the empirical studies. In addition, the well-known FI autoregressive conditional variance (ARCH) type model is also taken into account for comparison purposes. Our empirical … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 6,706 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparing Approaches for Quality Evaluation of Software Engineering Experiments: An Empirical Study on Software Product Line ExperimentsViviane R. Furtado, Henrique Vignando, Victor França, Edson OliveiraJrThe Software Engineering (SE) research area must provide results of a certain quality for the sake of value. High quality research results may ensure experience and knowledge, which are essential for the technology to be transferred to the industry. One of the means to obtain such quality results is experimentation. Experimentation is a scientific method that aims to provide evidence … …Journal of Computer Science, Vol. 15, Issue 10 · 25 Apr 2019 · 7,747 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Simple Approach for Building Cooling Load EstimationF. A. Ansari, A. S. Mokhtar, K. A. Abbas, N. M. AdamThe present work is to demonstrate how some very simple problems are made mathematically complex and seemingly tedious due to academic or business compulsions. There are some problems in which mathematical model are developed after making many simplifying assumptions. But, when it comes to solving these models, very sophisticated and complex schemes are applied. For such problems, dual policy does … …American Journal of Environmental Sciences, Vol. 1, Issue 3 · 30 Sep 2005 · 7,534 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Five Decomposition Techniques for Monthly Rainfall Time Series from 1991 to 2020 in Guinea (West Africa)Noukpo Médard Agbazo, Oumar Keita, Alpha Oumar Baldé et al.The selection of an optimal time series decomposition’ technique is crucial for enhancing rainfall prediction by using sophisticated methods as deep learning hybrid approaches. This study evaluates the effectiveness of five times series decomposition techniques in analyzing monthly rainfall datasets across Guinea geographical regions (Lower-Guinea (Boké, Conakry, Kindia), Middle-Guinea (Labé, Mamou), Upper-Guinea (Faranah, Kankan) and Forest-Guinea (Nzérékoré)) and identifies the … …American Journal of Applied Sciences, Vol. 22, Issue 1 · 27 Jan 2026 · 3,040 accessesView PDFCite
Research ArticleOpen accessIn the abstractEmpirical Study on Modified Pre-Trained CNN Architectures for Fitzpatrick17k Skin Diseases Prediction ModellingSteven Matthew, Nur Afny Catur Andryani, Rojali et al.Preventing missed diagnosis of skin diseases is critical for enhancing patient outcomes. Technology support empowered by AI based algorithms have been recently developed to minimize the burden. Convolutional Neural Networks (CNNs) are increasingly utilized for image classification tasks including skin's diseases prediction modelling. Its advancement architectures such as pre-trained models, VGG16 andResNet50 provide a strong foundation to up-skill the prediction … …Journal of Computer Science, Vol. 21, Issue 7 · 8 Jul 2025 · 3,934 accessesView PDFCite
Research ArticleOpen accessIn the abstractEpileptic Seizure Detection Using Integrated Decomposed Features from EEG SignalShupta Das, Suraiya Akter Mumu, M. A. H. Akhand, Md Abdus Samad KamalThe root cause of the seizure is a sudden abnormal excessive electrical discharge in the brain and it is an Epileptic Seizure (ES) when such abnormal electrical activity arises particularly for epilepsy. Recognizing ES is crucial for effective treatment as it often repeats and can lead to serious outcomes. Since epilepsy is a neurological issue, detecting ES by analyzing brain … …Journal of Computer Science, Vol. 20, Issue 10 · 8 Aug 2024 · 4,845 accessesView PDFCite