Instability in nonlinear regression model
- Authors
- Bark, Pyeng-Mu; Kim, Youngil; Jang, Dae-Heung
- Issue Date
- Feb-2017
- Publisher
- KOREAN STATISTICAL SOC
- Keywords
- nonlinear regression model; starting values; chaos
- Citation
- KOREAN JOURNAL OF APPLIED STATISTICS, v.30, no.1, pp 195 - 202
- Pages
- 8
- Journal Title
- KOREAN JOURNAL OF APPLIED STATISTICS
- Volume
- 30
- Number
- 1
- Start Page
- 195
- End Page
- 202
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/45603
- DOI
- 10.5351/KJAS.2017.30.1.195
- ISSN
- 1225-066X
2383-5818
- Abstract
- We can sometimes find instability against numerical solutions in nonlinear regression. All iterative procedures in nonlinear regression require initial parameter values to be selected. Poor starting values may result in convergence to an unwanted stationary point of the error sum of squares surface. Starting values can sometimes cause the chaos effect in the nonlinear regression model. We can find the chaos phenomena with the convergence plot of starting values in the parameter space.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Business & Economics > School of Business Administration > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/45603)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.