Robust Parameter Estimator for Non-Linear Growth Curves.
Abstract
The parameter estimation methods considered in this thesis are the weighted Least-Squares and Weighted Huber for some non-linear growth models. The properties of these parameter estimators derived from simulated data by means of (1) weighted and unweighted least-squares and (2) weighted and unweighted Huber robust estimation are compared. The error components of the simulated data are long-tailed and non-normal. The performance of mis-specified models is considered. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 1974
- Accession Number
- ADA001257
Entities
People
- Lim Lay Giok
Organizations
- Naval Postgraduate School