A Multivariate Version of Isotonic Regression
保序回归的多变量推广
A multivariate generalization of isotonic regression is given enabling the study of statistical inference for ordered vector-valued parameters or sets of ordered parameters, including multivariate extensions of Bartholomew's x¯k2 and Ēk2.. An iterative algorithm for computing multivariate isotonic regression is proposed and studied.