Title
Strong Consistency Of A Sieve Estimator For The Variance In Nonlinear Regression
Keywords
Nonlinear regression; parameter estimation; sieves; total boundedness; uniform spaces
Abstract
A strongly consistent sequence of estimators of the variance of the disturbance term in a nonlinear regression model is given. This improves earlier results based on either equicontinuity or uniform convergence arguments. © 1992.
Publication Date
5-27-1992
Publication Title
Statistics and Probability Letters
Volume
14
Issue
2
Number of Pages
165-168
Document Type
Article
Identifier
scopus
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/0167-7152(92)90080-O
Copyright Status
Unknown
Socpus ID
44049118406 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/44049118406
STARS Citation
Bhattacharyya, B. B. and Richardson, G. D., "Strong Consistency Of A Sieve Estimator For The Variance In Nonlinear Regression" (1992). Scopus Export 1990s. 933.
https://stars.library.ucf.edu/scopus1990/933