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306 results for “Probability”
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Research ArticleOpen accessIn the abstractKey Based Random Permutation (KBRP)Shakir M. Hussain, Naim M. AjlouniThis study introduces a method for generating a particular permutation P of a given size N out of N! permutations from a given key. This method computes a unique permutation for a specific size since it takes the same key; therefore, the same permutation can be computed each time the same key and size are applied. The name of random … …Journal of Computer Science, Vol. 2, Issue 5 · 31 May 2006 · 7,366 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Optimize Strategy based QoS Route Algorithm for Mobile Ad hoc NetworksFu Peng, Zhang DeyunIt is very difficult to find feasible QoS (Quality of service) routes in the mobile ad hoc networks (MANETs), because of the nature constrains of it, such as dynamic network topology, wireless communication link and limited process capability of nodes. In order to reduce average cost in flooding path discovery scheme of the traditional MANETs routing protocols and increase the … …Journal of Computer Science, Vol. 2, Issue 2 · 28 Feb 2006 · 6,546 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 · 8,441 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 · 7,324 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Experimental Study of Petty Corrupt Behaviour in Small Decision Making ProblemsTakemi FujikawaThis research discusses small decision making problems and petty corruption as their practical applications with a structured economic experiment. One of examples of petty corruption considered includes demands for petty bribes by traffic officials followed by police. We examine that it is caused by subjective underweighting of rare events and its objective probabilities. This literature reports results of an experiment, … …American Journal of Applied Sciences, Vol. 2, Issue 13 · 3 Dec 2005 · 8,105 accessesView PDFCite
Research ArticleOpen accessIn the abstractMathematical Model Mathematical Models for the Dynamics of Tuberculosis in Density-dependent Populations: The Case of Internally Displaced Peoples' Camps (IDPCs) in UgandaA. Ssematimba, J. Y.T. Mugisha, L.S. LuboobiMathematical models are formulated to establish the conditions (restrictions) on the size of the area occupied required minimizing and thereafter eradicating tuberculosis. Both numerical and qualitative analyses of the model are done and the effect of variation in the area size and recruitment rate on the different epidemiological groups is investigated. The results of the analysis show that there exists … …Journal of Mathematics and Statistics, Vol. 1, Issue 3 · 30 Sep 2005 · 6,891 accessesView PDFCite
Research ArticleOpen accessIn the abstractFLANN Detector Based Filtering of Images Corrupted by Impulse NoiseBanshidhar Majhi, Mowafak FathiWe present a novel non-linear scheme for image restoration based on neuro-detector using Functional Link Artificial Neural Network (FLANN) followed by an improved spatial filter. The method is applied to images corrupted by impulse noise with varying strengths and different noise probability. The neural detector is based on the concept of training or learning by examples. When trained properly, the … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 7,237 accessesView PDFCite
Research ArticleOpen accessIn the abstractPharmacodynamic Comparison of the Carbapenems Against E. coli and Klebsiella spp. Containing Extended spectrum β-lactamasesKathryn J. Eagye, Joseph L. Kuti, David P. NicolauCarbapenems are the treatment of choice for extended-spectrum β-lactamases (ESBLs). Ertapenem is a new member of the carbapenem class, and is often grouped with imipenem and meropenem as a recommended treatment for ESBLs. However, new in vitro data question ertapenem’s inclusion as a first line treatment for these bacteria, suggesting that ertapenem has a lower likelihood of obtaining appropriate pharmacodynamic … …American Journal of Infectious Diseases, Vol. 1, Issue 3 · 30 Sep 2005 · 6,886 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Laboratory Study of Bayesian Updating in Small Feedback-Based Decision ProblemsTakemi Fujikawa, Sobei H. OdaThis study explores small feedback-based decision problems experimentally. Conducted were the experiments in which the decision-maker’s payoff distribution was limited to either favorable distribution or unfavorable distribution. The first remarkable observation revealed complexity/loss aversion in the experiment. The second observation included the law of small numbers. Deviations from maximization were also observed. Finally, we investigated the imperfect Bayesian decision-makers observed … …American Journal of Applied Sciences, Vol. 2, Issue 7 · 31 Jul 2005 · 6,754 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamics of Infected Snails and Mated Schistosoma Worms within the Human HostG. Besigye-Bafaki, L. S. LuboobiMale and female worms are independently distributed within a human host each with a Poisson probability distribution mass function. Mating takes place immediately when partners are available. It was found that the mated worm function is non-linear near the origin and becomes almost linear as the worms increase. They increase with increase in the worm load due to aggregation of … …Journal of Mathematics and Statistics, Vol. 1, Issue 2 · 30 Jun 2005 · 6,237 accessesView PDFCite