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

nonparametric regression method together with some advanced techniques in order to deal with potential problems. The second essay … capital accumulation and productive improvements? Our approach to the question utilizes a nonparametric derivative estimation …

In this paper, we develop a new framework for face recognition based on nonparametric discriminant analysis (NDA) and … matrices to extend the two-class nonparametric discriminant analysis to multi-class cases. Then, we develop two more improved …

and KR21 reliability measures for each matrix. The nonparametric technique of Order Analysis was applied to two sections …

nonparametric estimate of its one-step ahead conditional density. The approach entails examination of conditional moment profiles …

This research develops nonparametric strategies for sequentially monitoring clinical trial data where detecting years … to guarantee the planned power of the test. Recommendations for how to sequentially monitor clinical trial progress in …

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 …