Robust Estimation of Parameters in Simple Linear Profiles Using M-Estimators
β Scribed by Ebadi, Mohsen; Shahriari, Hamid
- Book ID
- 126561770
- Publisher
- Taylor and Francis Group
- Year
- 2014
- Tongue
- English
- Weight
- 358 KB
- Volume
- 43
- Category
- Article
- ISSN
- 0361-0926
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
The robust linear regression problem using Huber's piecewise-quadratic M-estimator function is considered. Without exception, computational algorithms for this problem have been primal in nature. In this note, a dual formulation of this problem is derived using Lagrangean duality. It is shown that t
Ranked set sampling (RSS) as suggested by MCINTYRE (1952) and TAKAHASI and WAKIMOTO (1968) may be used to estimate the parameters of the simple regression line. The objective is to use the RSS method to increase the eficiency of the estimators relative to the simple random sampling (SRS) method. Est