exponential decay: hyperexponential (or mixed exponential) decay and models based on differential equations. Nonparametric …

This dissertation proposes a nonparametric quasi-likelihood approach to estimate regression coefficients in the class … data are totally unknown but are smooth functions of means. This proposed nonparametric quasi-likelihood approach is to … replace the unknown covariance matrix with a nonparametric estimator in the quasi-likelihood estimating equations, which are …

yields. Using historical county corn yield data for Arkansas and Louisiana and nonparametric methods, this empirical analysis …

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 …

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 …