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
โฆ LIBER โฆ
Robust static designs for approximately specified nonlinear regression models
โ Scribed by Karami, Jamil Hasan; Wiens, Douglas P.
- Book ID
- 123476635
- Publisher
- Elsevier Science
- Year
- 2014
- Tongue
- English
- Weight
- 322 KB
- Volume
- 144
- Category
- Article
- ISSN
- 0378-3758
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Robust designs for approximately polynom
โ
Shawn X Liu; Douglas P Wiens
๐
Article
๐
1997
๐
Elsevier Science
๐
English
โ 548 KB
Robust Sequential Designs for Approximat
โ
Douglas P. Wiens
๐
Article
๐
1996
๐
John Wiley and Sons
๐
French
โ 520 KB
Robust Sequential Designs for Nonlinear
โ
Sanjoy Sinha and Douglas P. Wiens
๐
Article
๐
2002
๐
John Wiley and Sons
๐
French
โ 1004 KB
Minimax Robust Designs for Misspecified
โ
Peilin Shi, Jane J. Ye and Julie Zhou
๐
Article
๐
2003
๐
John Wiley and Sons
๐
French
โ 786 KB
Some robust designs for polynomial regre
โ
Zhide Fang
๐
Article
๐
2006
๐
John Wiley and Sons
๐
French
โ 874 KB
Robust designs for misspecified exponent
โ
Xiaojian Xu
๐
Article
๐
2009
๐
John Wiley and Sons
๐
English
โ 161 KB
## Abstract We consider the construction of designs for exponential regression. The response function is an only approximately known function of a specified exponential function. As well, we allow for variance heterogeneity. We find minimax designs and corresponding optimal regression weights in th