Exact <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$D$$</EquationSource> </InlineEquation>-optimal designs for first-order trigonometric regression models on a partial circle
Recently, various approximate design problems for low-degree trigonometric regression models on a partial circle have been solved. In this paper we consider approximate and exact optimal design problems for first-order trigonometric regression models without intercept on a partial circle. We investigate the intricate geometry of the non-convex exact trigonometric moment set and provide characterizations of its boundary. Building on these results we obtain a solution of the exact <InlineEquation ID="IEq4"> <EquationSource Format="TEX">$$D$$</EquationSource> </InlineEquation>-optimal design problem. It is shown that the structure of the optimal designs depends on both the length of the design interval and the number of observations. Copyright Springer-Verlag Berlin Heidelberg 2013
Year of publication: |
2013
|
---|---|
Authors: | Chang, Fu-Chuen ; Imhof, Lorens ; Sun, Yi-Ying |
Published in: |
Metrika. - Springer. - Vol. 76.2013, 6, p. 857-872
|
Publisher: |
Springer |
Saved in:
Online Resource
Saved in favorites
Similar items by person
-
Exact $$D$$ -optimal designs for first-order trigonometric regression models on a partial circle
Chang, Fu-Chuen, (2013)
-
On Minimally-supported D-optimal Designs for Polynomial Regression with Log-concave Weight Function
Chang, Fu-Chuen, (2007)
-
D-optimal designs for polynomial regression with exponential weight function
Chang, Fu-Chuen, (2009)
- More ...