✦ LIBER ✦

Comparison of Efficient L- and R-Estimators of Location

✍ Scribed by Sorana Froda

Book ID: 115056703
Publisher: John Wiley and Sons
Year: 1986
Tongue: French
Weight: 235 KB
Volume: 14
Category: Article
ISSN: 0319-5724
DOI: 10.2307/3315039

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Minimax-Variance L- and R-Estimators of

Minimax-Variance L- and R-Estimators of Location

✍ Douglas P. Wiens 📂 Article 📅 1990 🏛 John Wiley and Sons 🌐 French ⚖ 565 KB

Asymptotically efficient non-parametric

Asymptotically efficient non-parametric estimators of location and scale parameters

✍ L. Weiss; J. Wolfowitz 📂 Article 📅 1970 🏛 Springer 🌐 English ⚖ 606 KB

Asymptotically efficient non-parametric

Asymptotically efficient non-parametric estimators of location and scale parameters. II

✍ J. Wolfowitz 📂 Article 📅 1974 🏛 Springer 🌐 English ⚖ 662 KB

Efficient Bias-Robust M-Estimators of Lo

Efficient Bias-Robust M-Estimators of Location in Kolmogorov Normal Neighbourhoods

✍ Eden K. H. Wu and Julie Zhou 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 French ⚖ 407 KB

Robust M-estimators of location vectors

✍ John R Collins 📂 Article 📅 1982 🏛 Elsevier Science 🌐 English ⚖ 598 KB

A Monte Carlo comparison of several high

A Monte Carlo comparison of several high breakdown and efficient estimators

✍ Jiazhong You 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 137 KB

High breakdown point, bounded in uence and high e ciency at the Gaussian model are desired properties of robust regression estimators. Several estimators have been proposed to achieve at least some of these properties and their asymptotic behavior has been derived in the literature. In this article,