A multivariate version of isotonic regression

S. Sasabuchi; M. Inutsuka; D. D.S. Kulatunga

doi:10.1093/biomet/70.2.465

A multivariate version of isotonic regression

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

Research output: Contribution to journal › Article › peer-review

32 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	465-472
Number of pages	8
Journal	Biometrika
Volume	70
Issue number	2
DOIs	https://doi.org/10.1093/biomet/70.2.465
Publication status	Published - Aug 1983
Externally published	Yes

All Science Journal Classification (ASJC) codes

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

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10.1093/biomet/70.2.465

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title = "A multivariate version of isotonic regression",

abstract = "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.",

author = "S. Sasabuchi and M. Inutsuka and Kulatunga, {D. D.S.}",

year = "1983",

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JO - Biometrika

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A multivariate version of isotonic regression

Abstract

All Science Journal Classification (ASJC) codes

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