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Between groups/conditions comparison of LFP oscillation power and coherence was done based on a nonparametric jackknife-based resampling procedure.
Based on a nonparametric U-statistic, WU-SEQ makes no assumption of the underlying disease model and phenotype distribution, and can be applied to a variety of phenotypes.
Focusing on general categorical outcomes (nominal or ordinal), we develop a new RD estimator based on a nonparametric extension of the well-known multinomial logit model.
Dynamic matrix control (DMC) system based on a nonparametric model has been used to track the overhead temperature of the packed distillation column.
Compared to the traditional gauge adjusted parametric relationship between reflectivity (Z) and ground rainfall (R), the suggested new approach is based on a nonparametric radar rainfall estimation method (NPR) derived using the conditional probability distribution of reflectivity and gauge rainfall.
Based on a nonparametric model of the control loop, which is independent of the technique used to synthesise the feedback controller and of the set point signal, the method is simple enough to be suitable for systems where the limits imposed by the hardware and/or software architecture are relevant.
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The approach is based on a reduced nonparametric model, which has the form of a set of selected structural impulse responses.
This paper proposes a nonparametric test for common trends in semiparametric panel data models with fixed effects based on a measure of nonparametric goodness-of-fit (R²).
Apart from the class of those Lee-Carter models, we also compare our model with the Bayesian approach of Raftery et al. (2013) that is used by the UN Population Division for the World Population Prospects 2012 (United Nations 2013) and with the one proposed by Currie et al. (2004) that is based on a two-dimensional, nonparametric smoothing using P-splines (Eilers and Marx 1996).
Since apart from smoothness no other (parametric) assumptions are required, our approach is based on a comparison of nonparametric estimators ˆm1 and ˆm2 of m1 and m2, respectively.
It should be noted that RTD is based on rank, a nonparametric statistic that is not affected by the divergence score distribution.
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