Translator Disclaimer
September, 1982 An Algorithm for Isotonic Regression for Two or More Independent Variables
Richard L. Dykstra, Tim Robertson
Ann. Statist. 10(3): 708-716 (September, 1982). DOI: 10.1214/aos/1176345866

Abstract

Algorithms for solving the isotonic regression problem in more than one dimension are difficult to implement because of the large number of lower sets present or because they involve search techniques which require a significant amount of checking and readjustment. Here a new algorithm for solving this problem based on a simple iterative technique is proposed and shown to converge to the correct solution.

Citation

Download Citation

Richard L. Dykstra. Tim Robertson. "An Algorithm for Isotonic Regression for Two or More Independent Variables." Ann. Statist. 10 (3) 708 - 716, September, 1982. https://doi.org/10.1214/aos/1176345866

Information

Published: September, 1982
First available in Project Euclid: 12 April 2007

zbMATH: 0485.65099
MathSciNet: MR663427
Digital Object Identifier: 10.1214/aos/1176345866

Subjects:
Primary: 65D15
Secondary: 49D05

Rights: Copyright © 1982 Institute of Mathematical Statistics

JOURNAL ARTICLE
9 PAGES


SHARE
Vol.10 • No. 3 • September, 1982
Back to Top