Diagnostic Plots for Missing Data in Least Squares Regression
Abstract The usual approach to handling missing data in a regression is to assume that the points are missing at random (MAR) and use either a fill-in method to replace the miss...
Abstract The usual approach to handling missing data in a regression is to assume that the points are missing at random (MAR) and use either a fill-in method to replace the miss...
Summary Many different methods have been proposed to construct nonparametric estimates of a smooth regression function, including local polynomial, (convolution) kernel and smoo...
h-index: Number of publications with at least h citations each.