Silvelyn Zwanzig

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Local linear methods are applied to a nonparametric regression model with normal errors in the variables and uniform distribution of the variables. The local neighborhood is determined with help of deconvolution kernels. Two different linear estimation method are used: the naive estimator and the total least squares estimator. Both local linear estimators(More)
In this paper, we propose a new test for examining the equality of the coefficient of variation between two different populations. The proposed test is based on the nonparametric bootstrap method. It appears to yield several appreciable advantages over the current tests. The quick and easy implementation of the test can be considered as advantages of the(More)
2 Random Variable Generation 5 2.1 Basic Methods . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.1.1 Congruential Generators . . . . . . . . . . . . . . . . . 6 2.1.2 The Kiss Generator . . . . . . . . . . . . . . . . . . . . 8 2.1.3 Beyond Uniform Distributions . . . . . . . . . . . . . . 10 2.2 Transformation methods . . . . . . . . . . . . . .(More)
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