We consider a design problem where experimental conditions (design points Xi) are presented in the form of sequence i.i.d. random variables, generated with an unknown probability measure ?, and only given proportion ??(0,1) can be selected. The objective is to select good candidates Xi on fly maximize concave function ? corresponding information matrix. optimal solution corresponds construction...

Abstract Remove unwanted variation (RUV) is an estimation and normalization system in which the underlying correlation structure of a multivariate dataset estimated from negative control measurements, typically gene expression values, are assumed to stay constant across experimental conditions. In this paper we derive weight matrix incorporated into generalized least squares estimates RUV‐inver...