Title
Inconsistent M-Estimators: Nonlinear Regression With Multiplicative Error
Keywords
M-estimators; multiplicative error; Nonlinear regression; strong consistency
Abstract
Conditions are given which ensure the nonexistence of a sequence of strongly consistent M-estimators in a general parameter estimation problem. An example is given of a nonlinear regression model used in software engineering and having the property that every sequence of least squares estimators fails to be strongly consistent. © 1992.
Publication Date
7-11-1992
Publication Title
Statistics and Probability Letters
Volume
14
Issue
5
Number of Pages
407-411
Document Type
Article
Identifier
scopus
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/0167-7152(92)90102-B
Copyright Status
Unknown
Socpus ID
44049117690 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/44049117690
STARS Citation
Bhattacharyya, B. B.; Khoshgoftaar, T. M.; and Richardson, G. D., "Inconsistent M-Estimators: Nonlinear Regression With Multiplicative Error" (1992). Scopus Export 1990s. 917.
https://stars.library.ucf.edu/scopus1990/917