Abstract
The solution of weakly constrained regression problems typically requires the iterative search, in a given interval, of a point where a certain function has a zero derivative. This note deals with improved bounds for the interval to be searched.
Similar content being viewed by others
References
Greenacre, M. J., & Browne, M. W. (1986). An efficient alternating least-squares algorithm to perform multidimensional unfolding.Psychometrika, 51, 241–250.
ten Berge, J. M. F. (1991). A general solution for a class of weakly constrained linear regression problems.Psychometrika, 56, 601–609.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
ten Berge, J.M.F. Improved bounds for optimal intervals in weakly constrained regression problems. Psychometrika 61, 695–696 (1996). https://doi.org/10.1007/BF02294043
Received:
Revised:
Issue Date:
DOI: https://doi.org/10.1007/BF02294043