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Comparing parametric and non-parametric methods

African Journal of Midwifery and Women's Health, 2018
In this article, we will introduce the idea of parametric and non-parametric methods, which can be used to compare statistical hypotheses about population parameters
Malcolm Campbell
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Parametric and Non-parametric Methods for Linear Extraction

2004
This article presents two new approaches, one parametric and one non-parametric, to the linear grouping of image features. They are based on the Bayesian Hough Transform, which takes into account feature uncertainty. Our main contribution are two new ways to detect the most significant modes of the Hough Transform.
Benedicte Bascle, Xiang Gao, Visvanathan Ramesh   +2 more
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Non-Parametric Regression Methods

Computational Management Science, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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