A multivariate version of isotonic regression

S. Sasabuchi, M. Inutsuka, D. D.S. Kulatunga

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)


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 . xk2 and Ek2.. An iterative algorithm for computing multivariate isotonic regression is proposed and studied.

Original languageEnglish
Pages (from-to)465-472
Number of pages8
Issue number2
Publication statusPublished - Aug 1983
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • General Mathematics
  • Agricultural and Biological Sciences (miscellaneous)
  • General Agricultural and Biological Sciences
  • Statistics, Probability and Uncertainty
  • Applied Mathematics


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