✦ LIBER ✦

Robust experiment design via stochastic approximation

✍ Scribed by Luc Pronzato; Eric Walter

Book ID: 116029144
Publisher: Elsevier Science
Year: 1985
Tongue: English
Weight: 814 KB
Volume: 75
Category: Article
ISSN: 0025-5564
DOI: 10.1016/0025-5564(85)90068-9

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Robust experiment design via maximin opt

Robust experiment design via maximin optimization

✍ Luc Pronzato; Eric Walter 📂 Article 📅 1988 🏛 Elsevier Science 🌐 English ⚖ 832 KB

Robust Stochastic Approximation Approach

Robust Stochastic Approximation Approach to Stochastic Programming

✍ Nemirovski, A.; Juditsky, A.; Lan, G.; Shapiro, A. 📂 Article 📅 2009 🏛 Society for Industrial and Applied Mathematics 🌐 English ⚖ 401 KB

Robust Population Pharmacokinetic Experi

Robust Population Pharmacokinetic Experiment Design

✍ Michael G. Dodds; Andrew C. Hooker; Paolo Vicini 📂 Article 📅 2005 🏛 Springer 🌐 English ⚖ 537 KB

Robust variance-constrained design for u

Robust variance-constrained design for uncertain continuous stochastic systems via output feedback

✍ Peijun Huo; Zidong Wang 📂 Article 📅 1997 🏛 Chinese Electronic Periodical Services 🌐 English ⚖ 255 KB

Stochastic root finding via retrospectiv

Stochastic root finding via retrospective approximation

✍ Huifen Chen; Bruce W. Schmeiser 📂 Article 📅 2001 🏛 Taylor and Francis Group 🌐 English ⚖ 238 KB

Robust designs for approximately polynom

Robust designs for approximately polynomial regression

✍ Shawn X Liu; Douglas P Wiens 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 548 KB

We study designs for the regression model E[Ylx ] = ~;-I o OjX j ~-xP~I(X), where ~(x) is unknown but bounded in absolute value by a given function ~b(x). This class of response functions models departures from an exact polynomial response. We consider the construction of designs which are robust, w