This paper addresses the role of non-parametric analysis in adjusting agricultural productivity measures for … compared and contrasted with a non-parametric hyperbolic graph productivity index for the case of Nebraska agriculture. …

nonparametric method, based on reliability and survival data, are presented in detail. …

We introduce a nonparametric smoothing procedure for nonparametric factor analaysis of multivariate time series. The …

with nonparametric estimation of the pricing kernel (Empirical Pricing Kernel) given by the ratio of the risk ….r.t. the European call option price function, which we estimate by nonparametric regression. The subjective density is …

treatment choice is determined by a nonparametric version of the multinomial choice model. Responses to interventions are …

This research develops nonparametric strategies for sequentially monitoring clinical trial data where detecting years …

Semi-parametric and nonparametric modeling and inference have been widely studied duringthe last two decades. In this … manuscript, we do statistical inference based on semi-parametricand nonparametric models in several different scenarios ….Firstly, we develop a semi-parametric additivity test for nonparametric multi-dimensionalmodel. The test statistic can test two or …

constrained nonparametric maximum likelihood estimator (C-NPMLE) of the survivor functions in one- and two-sample settings …