Recent Advances in Statistical Ranking and Selection: Theory and Methods

摘要

This paper reviews some recent developments in the research area of ranking andselection, mainly, on the following topics: (a) Selecting the largest normal mean and estimating the selected mean, (b) empirical Bayes selection, (c) selecting the important regression variables, (d) sequential selection rules, and (e) lower confidence bounds for the probability of a correct selection. Related theoretic and methodological research will be surveyed. Statistical tests; Equations; Mathematical models. (cp)