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regression. A Markov chain Monte Carlo algorithm is presented to sample bandwidths for the kernel estimators of the regression … favored against wrong assumptions of the error density. We apply our sampling algorithm to a nonparametric regression model of …
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Accurate forecasting of inter-urban traffic flow has been one of most important issues globally in the research on road traffic congestion. The information of inter-urban traffic with a cyclic data pattern presents a more challenging situation. This investigation presents a short-term traffic...
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There is no available Prais-Winsten algorithm for regression with AR(2) or higher order errors, and the one with AR(1 …, providing an accurate, computationally fast, and inexpensive generic zig-zag algorithm. …
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number of possible approaches to these problems and develops a particular algorithm based on the work of Powell and Dennis …
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Prediction is a forecast of an event which may happen in future. Predictions are not necessary based upon the prior knowledge or experience for an event of interest. Every person does predictions but the quality of the predictions differs from person to person and that classifies them as a...
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number of possible approaches to these problems and develops a particular algorithm based on the work of Powell and Dennis …
Persistent link: https://www.econbiz.de/10012479050