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We design a coupled shape prior to model the transformation between a related pair of surfaces, using a nonparametric joint probability density estimation.
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A relationship of change in the muscle strength and angular velocity of movement of the knee joint was determined using a nonparametric Friedman test [ 32].
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It was designed by using a nonparametric Bayesian approach.
The PDFs are computed using a nonparametric technique with a Gaussian kernel function for smoothing.
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Histopathology and immunohistochemistry data were analyzed using a nonparametric Mann–Whitney U test.
The model stability was validated using a nonparametric bootstrap (100 samples with replacement).
The responses were analysed using a nonparametric approach and confirmed our initial observations.
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