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Full-Text Articles in Physical Sciences and Mathematics
A Class Of Functions That Are Quasiconvex But Not Polyconvex, Catherine S. Remus
A Class Of Functions That Are Quasiconvex But Not Polyconvex, Catherine S. Remus
Masters Theses
In 1991 V. Sverak [11] gave an example of a function that was invariant and quasiconvex but not polyconvex. We have generalized this example to a wide class of functions that meet certain ellipticity and growth conditions. Quasiconvexity is one necessary and sufficient condition for the existence of solutions to the minimization problem in elliptic P.D.E. theory. Invariance is frequently a requirement of the stored energy function in Calculus of Variation approaches to elasticity problems.
Fractal Images Generated By Newton's Method.", Jennifer Corte
Fractal Images Generated By Newton's Method.", Jennifer Corte
Masters Theses
We investigate the behavior of Newton's Method for finding roots applied to complex-valued functions of complex variables. This re- quires an analysis of iteration of rational functions. The fractal nature of Newton's Method in the complex plane gives us intricate and beautiful images. By investigating select functions we attempt to generalize a pattern of behavior.
Prediction Intervals For The Binomial Distribution With Dependent Trials, Florian Sebastian Rueck
Prediction Intervals For The Binomial Distribution With Dependent Trials, Florian Sebastian Rueck
Masters Theses
"A generalization of a prediction interval procedure for the binomial distribution to the case of the binomial distribution with dependent trials is considered. Several different methods have been developed for obtaining prediction intervals for the binomial distribution. An unpublished study by Vlieger and Samaranayake has shown that two of these methods achieve coverage probabilities close to nominal levels. The proposed method is an extension of one of these methods and is based on the maximum likelihood predictive density proposed by Lejeune and Faulkenberry. A simulation study was carried out to investigate the coverage probabilities of the proposed prediction bounds.
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