𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Deleting Outliers in Robust Regression with Mixed Integer Programming

✍ Scribed by Georgios Zioutas; Antonios Avramidis


Publisher
Institute of Applied Mathematics, Chinese Academy of Sciences and Chinese Mathematical Society
Year
2005
Tongue
English
Weight
159 KB
Volume
21
Category
Article
ISSN
0168-9673

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


A mixed integer programming for robust t
✍ Yoshihiro Kanno; Xu Guo πŸ“‚ Article πŸ“… 2010 πŸ› John Wiley and Sons 🌐 English βš– 285 KB

## Abstract This paper presents a mixed integer programming (MIP) formulation for robust topology optimization of trusses subjected to the stress constraints under the uncertain load. A design‐dependent uncertainty model of the external load is proposed for dealing with the variation of truss topol

Outlier Detection in Regression Models w
✍ A. M. Bianco; M. GarcΓ­a Ben; E. J. MartΓ­nez; V. J. Yohai πŸ“‚ Article πŸ“… 2001 πŸ› John Wiley and Sons 🌐 English βš– 130 KB

## Abstract A diagnostic procedure for detecting additive and innovation outliers as well as level shifts in a regression model with ARIMA errors is introduced. The procedure is based on a robust estimate of the model parameters and on innovation residuals computed by means of robust filtering. A M