This article focuses on variable selection for partially linear models when the covariates are measured with additive errors. We propose two classes of variable selection procedures, penalized least squares and penalized quantile regression, using the nonconvex penalized principle. The first procedure corrects the bias in the loss function caused by the measurement error by applying the so-call...

This paper presents two new procedures for ranking and selection (R&S) problems where the best system designs are selected from a set of competing ones based on multiple performance measures evaluated through stochastic simulation. In the procedures, the performance measures are aggregated with a multi-attribute utility function, and incomplete preference information regarding the weights that ...

Abstract Phosphates, and especially potash, play an essential role in the increase crop yields. Potash is mined Germany underground mines using a conventional drill-and-blast technique. The most commercially valuable mineral contained potash potassium chloride that separated from aboveground processing plants. plants perform economically best if amount of output equal to specific value, so-call...

Clustering is an important and challenging statistical problem for which there is an extensive literature. Modeling approaches include mixture models and product partition models. Here we develop a product partition model and a model selection procedure based on Bayes factors from intrinsic priors. We also find that the choice of the prior on model space is of utmost importance, almost overshad...

Household surveys are moving from interviewer-administered modes to self-administered modes for data collection, but many households do not accurately follow within-household selection procedures in mail surveys. In this article, we examine accuracy of within-household selection using an oldest adult/youngest adult method in web, mail, and mixed-mode surveys. The frame for this study comes from...