Parameter Estimation for a Class of Lifetime Models
Joint Authors
Ji, Xinyang
Fan, Wei
Fan, Shunhou
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-01
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
Our purpose in this paper is to present a better method of parametric estimation for a bivariate nonlinear regression model, which takes the performance indicator of rubber aging as the dependent variable and time and temperature as the independent variables.
We point out that the commonly used two-step method (TSM), which splits the model and estimate parameters separately, has limitation.
Instead, we apply the Marquardt’s method (MM) to implement parametric estimation directly for the model and compare these two methods of parametric estimation by random simulation.
Our results show that MM has better effect of data fitting, more reasonable parametric estimates, and smaller prediction error compared with TSM.
American Psychological Association (APA)
Ji, Xinyang& Fan, Shunhou& Fan, Wei. 2014. Parameter Estimation for a Class of Lifetime Models. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-1034126
Modern Language Association (MLA)
Ji, Xinyang…[et al.]. Parameter Estimation for a Class of Lifetime Models. Abstract and Applied Analysis No. 2014 (2014), pp.1-5.
https://search.emarefa.net/detail/BIM-1034126
American Medical Association (AMA)
Ji, Xinyang& Fan, Shunhou& Fan, Wei. Parameter Estimation for a Class of Lifetime Models. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-1034126
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1034126