✦ LIBER ✦

Computational aspects of robust estimators for linear regressions

✍ Scribed by Marilena Furno; Christopher Baum

Publisher: Springer US
Year: 1989
Tongue: English
Weight: 867 KB
Volume: 2
Category: Article
ISSN: 1572-9974
DOI: 10.1007/bf00436511

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Robust estimation for linear regression

Robust estimation for linear regression with asymmetric errors

✍ Ana M. Bianco; Marta Garcia Ben; Víctor J. Yohai 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 French ⚖ 955 KB

Recursive robust regression computationa

Recursive robust regression computational aspects and comparison

✍ Jaromír Antoch; Hakan Ekblom 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 861 KB

Robust linear regression via bounded inf

Robust linear regression via bounded influence M-estimators

✍ Chi-Lun Cheng 📂 Article 📅 1992 🏛 Elsevier Science 🌐 English ⚖ 692 KB

Robust designs for ratio and regression

Robust designs for ratio and regression estimation

✍ Ronaldo Iachan 📂 Article 📅 1985 🏛 Elsevier Science 🌐 English ⚖ 653 KB

Duality in robust linear regression usin

Duality in robust linear regression using Huber's M-estimator

✍ M.Ç. Pinar 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 353 KB

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

Robust minimax designs for multiple line

Robust minimax designs for multiple linear regression

✍ Douglas P. Wiens 📂 Article 📅 1990 🏛 Elsevier Science 🌐 English ⚖ 500 KB