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216 articles for “Forecast”

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Research ArticleOpen accessIn the abstractCerebrovascular Accident Attack Classification Using Multilayer Feed Forward Artificial Neural Network with Back Propagation ErrorOlatubosun Olabode, Bola Titilayo OlabodeProblem statement: Most important problems of medical diagnosis. When there is a cerebrovascular accident attach the chances of a successful treatment depends essentially on the early diagnosis. In practice the part of medical errors while diagnosing a stroke type comes to 20-45% even for experienced doctors and the scope of methods of neurovisualization at stroke diagnosis are limited. Approach: In … …Journal of Computer Science, Vol. 8, Issue 1 · 26 Oct 2011 · 7,330 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Accuracy of MultiplesStauropoulos Antonios, Samaras Ioannis, Arsenos PanagiotisProblem statement: Equity valuation with the use of multiples is widely used by academics and practitioners concerning its functionality. This study aims to explore the sensitivity of three multiples in terms of accuracy. Approach: Price-to-Sales (P/S) multiple, the price-to-book value of equity (P/B) multiple and the Price-to-Earnings (P/E) multiple are three multiples under consideration, using both current and one-year-ahead earnings … …American Journal of Applied Sciences, Vol. 8, Issue 8 · 19 Jul 2011 · 6,830 accessesView PDFCite
Research ArticleOpen accessIn the abstractObject Oriented Modeling of Thermostatically Controlled Devices for Cold Load Pick-upAlexandre de Assis Mota, Lia Toledo Moreira Mota, Claudia Cotrim PezzutoProblem statement: During service restoration, the power level at buses can significantly differ from the one presented under steady-state conditions, demanding an amount of electric power significantly higher than the normal load. Hence, their post-outage behavior must be adequately forecasted in order to permit the development of reliable restoration plans, or to avoid inadequate actions that may lead to a … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 6,847 accessesView PDFCite
Research ArticleOpen accessIn the abstractRock Slopes Failure Susceptibility Analysis: From Remote Sensing Measurements to Geographic Information System Raster ModulesFilipello Andrea, Giuliani Andrea, Mandrone GiuseppeProblem statement: Two important step can be recognised in the rockfall analysis: the potential failure detection and the run out simulation. Analyzing the stability of rock slopes, most important kinematisms are planar or wedge slidings and topplings. The aim of this study was to coupling a deterministic approach for landslide initiation (potential rockfall source areas) with a runout analysis by … …American Journal of Environmental Sciences, Vol. 6, Issue 6 · 31 Dec 2010 · 8,619 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of the Bayesian and Maximum Likelihood Estimation for Weibull DistributionAl Omari Mohammed Ahmed, Hadeel Salim Al-Kutubi, Noor Akma IbrahimProblem statement: The Weibull distribution has been widely used especially in the modeling of lifetime event data. It provides a statistical model which has a wide variety of applications in many areas, and the main advantage is its ability in the context of lifetime event, to provide reasonably accurate failure analysis and failure forecasts especially with extremely small samples. The … …Journal of Mathematics and Statistics, Vol. 6, Issue 2 · 30 Jun 2010 · 10,955 accessesView PDFCite
Research ArticleOpen accessIn the abstractUpgrading of Bio-Oil into High-Value Hydrocarbons via HydrodeoxygenationMurni M. Ahmad, M. Fitrir R. Nordin, M. Tazli AzizanProblem statement: World energy consumption is forecasted to grow significantly for the foreseeable future with fossil fuel remains the governing energy source. The demand in the need to explore alternative fuel source was further triggered by the overwhelmingly inconsistent cost of gasoline. Bio-oil is an alternative energy source produced from pyrolysis of biomass. However it is undesirable as a ready … …American Journal of Applied Sciences, Vol. 7, Issue 6 · 30 Jun 2010 · 8,823 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Effect of Technology Transfer Factors on Performance: An Empirical Study of Libyan Petroleum IndustryA. S. Mohamed, S. M. Sapuan, M.M.H. Megat Ahmad et al.Problem statement: In Libya, like most petroleum producing countries, attempts began to develop the petroleum industry through several frames of Technology Transfer (TT). The realization of TT is progressively more forecasted with a starting point of essential factors mainly government support, Knowledge base, environment, Willingness to learn and anticipated to rely more on these factors further in the future. Approach: … …American Journal of Applied Sciences, Vol. 6, Issue 9 · 30 Sep 2009 · 7,341 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn the Predictability of Risk Box Approach by Genetic Programming Method for Bankruptcy PredictionAlireza Bahiraie, Noor Akma bt Ibrahim, A. K.M. AzharProblem statement: Theoretical based data representation is an important tool for model selection and interpretations in bankruptcy analysis since the numerical representation are much less transparent. Some methodological problems concerning financial ratios such as non-proportionality, non-asymetricity, non-scalicity are solved in this study and we presented a complementary technique for empirical analysis of financial ratios and bankruptcy risk. Approach: This study … …American Journal of Applied Sciences, Vol. 6, Issue 9 · 30 Sep 2009 · 7,948 accessesView PDFCite
Research ArticleOpen accessIn the abstractVolatility 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 accessIn the abstractA Generalized Discrete-Time Long Memory Volatility Model for Financial Stock ExchangeChin Wen CheongWe proposed a simple way to combine a few long memory models in financial market volatility modeling using daily, range and high frequency data. This model was able to fit the return, range of daily return or realized volatility under a parametric heavy-tailed distribution. Model was flexible to include additional volatility information as the contemporaneous variables. Empirical results found that … …American Journal of Applied Sciences, Vol. 4, Issue 12 · 31 Dec 2007 · 6,869 accessesView PDFCite