26,544 research outputs found

    A comparative study of nonparametric methods for pattern recognition

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    The applied research discussed in this report determines and compares the correct classification percentage of the nonparametric sign test, Wilcoxon's signed rank test, and K-class classifier with the performance of the Bayes classifier. The performance is determined for data which have Gaussian, Laplacian and Rayleigh probability density functions. The correct classification percentage is shown graphically for differences in modes and/or means of the probability density functions for four, eight and sixteen samples. The K-class classifier performed very well with respect to the other classifiers used. Since the K-class classifier is a nonparametric technique, it usually performed better than the Bayes classifier which assumes the data to be Gaussian even though it may not be. The K-class classifier has the advantage over the Bayes in that it works well with non-Gaussian data without having to determine the probability density function of the data. It should be noted that the data in this experiment was always unimodal

    Consumer Responses to Recent BSE Events

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    Recent bovine spongiform encephalopathy (BSE, a.k.a. mad cow disease) discoveries in Canadian and U.S. beef cattle have garnered significant media attention, which may have changed consumers’ meat-purchasing behavior. Consumer response is hypothesized and tested within a meat demand system in which response is measured using single-period dummy variables, longer-term dummy variables, and media indices that count positive and negative meat-industry articles. Parameters are estimated using retail scanner data, and cross-species price elasticities are calculated. Results suggest that the BSE events negatively impacted ground beef and chuck roasts, while positively impacting center-cut pork chop demand. Dummy variables explained the variation in meat-budget shares better than did media indices.Consumer/Household Economics,

    J_AW,WA functions in Passarino-Veltman reduction

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    In this paper we continue to study a special class of Passarino-Veltman functions J arising at the reduction of infrared divergent box diagrams. We describe a procedure of separation of two types of singularities, infrared and mass singularities, which are absorbed in simple C0 functions. The infrared divergences of C0's can be regularized then by any method: photon mass, dimensionally or by the width of an unstable particle. Functions J, in turn, are represented as certain linear combinations of the standard D0 and C0 Passarino-Veltman functions. The former are free of both types of singularities and are expressed as explicit and compact linear combinations of logarithms and dilogarithm functions. We present extensive comparisons of numerical results with those obtained with the aid of the LoopTools package

    On q-Gaussians and Exchangeability

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    The q-Gaussians are discussed from the point of view of variance mixtures of normals and exchangeability. For each q< 3, there is a q-Gaussian distribution that maximizes the Tsallis entropy under suitable constraints. This paper shows that q-Gaussian random variables can be represented as variance mixtures of normals. These variance mixtures of normals are the attractors in central limit theorems for sequences of exchangeable random variables; thereby, providing a possible model that has been extensively studied in probability theory. The formulation provided has the additional advantage of yielding process versions which are naturally q-Brownian motions. Explicit mixing distributions for q-Gaussians should facilitate applications to areas such as option pricing. The model might provide insight into the study of superstatistics.Comment: 14 page

    Fast Evaluation of Feynman Diagrams

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    We develop a new representation for the integrals associated with Feynman diagrams. This leads directly to a novel method for the numerical evaluation of these integrals, which avoids the use of Monte Carlo techniques. Our approach is based on based on the theory of generalized sinc (sin(x)/x\sin(x)/x) functions, from which we derive an approximation to the propagator that is expressed as an infinite sum. When the propagators in the Feynman integrals are replaced with the approximate form all integrals over internal momenta and vertices are converted into Gaussians, which can be evaluated analytically. Performing the Gaussians yields a multi-dimensional infinite sum which approximates the corresponding Feynman integral. The difference between the exact result and this approximation is set by an adjustable parameter, and can be made arbitrarily small. We discuss the extraction of regularization independent quantities and demonstrate, both in theory and practice, that these sums can be evaluated quickly, even for third or fourth order diagrams. Lastly, we survey strategies for numerically evaluating the multi-dimensional sums. We illustrate the method with specific examples, including the the second order sunset diagram from quartic scalar field theory, and several higher-order diagrams. In this initial paper we focus upon scalar field theories in Euclidean spacetime, but expect that this approach can be generalized to fields with spin.Comment: uses feynmp macros; v2 contains improved description of renormalization, plus other minor change

    Demographics and presenting clinical features of childhood systemic lupus erythematosus

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    Objectives: To review the presentation and characteristics of children with systemic lupus erythematosus (SLE).Methods: The records of children with sufficient American College of Rheumatology (ACR) criteria for SLE treated by the renal units of the Johannesburg and Chris Hani Baragwanath hospitals, and the arthritis clinic of the Johannesburg Hospital between January 1974 and March 2000 were reviewed. The clinical presentation, age distribution and race were examined.Results: A total of 36 children met the criteria. There were 26 girls and 10 boys, with a mean age of 11.5 and 10.2 years respectively. The male-to-female ratio was 1:2.6 overall, with a ratio of 1:1.2 under 10 years and 1:4 over 10 years. There were 15 white, 2 Indian and 5 coloured patients. The 14 black patients all presented after 1986. Rashes were found to be the commonest clinical feature present at the time of diagnosis, followed by polyarthritis and renal pathology. Constitutional symptoms were common, as were generalised lymphadenopathy and hepatosplenomegaly, while neurological, pulmonary and cardiac signs and symptoms were less common. Renal disease was present in 58% of patients on presentation.Conclusion: There is a diverse array of presenting features in childhood SLE. There has been increased recognition of the disease in young black South Africans since 1986.Journal of Endocrinology, Metabolism and Diabetes of South Africa Vol. 10(2) 2005: 64-6
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