Robustness of Optimal Designs for 2^2 Experiments with Binary Response

Details Robustness of Optimal Designs for 2^2 Experiments with Binary Response Robustness of Optimal Designs for 2^2 Experiments with Binary Response

2010-05-12

arxiv.org/abs/1005.1982v1

Statistics

Methodology

17 pages, 4 figures

Scientific paper

We consider an experiment with two qualitative factors at 2 levels each and a binary response, that follows a generalized linear model. In Mandal, Yang and Majumdar (2010) we obtained basic results and characterizations of locally D-optimal designs for special cases. As locally optimal designs depend on the assumed parameter values, a critical issue is the sensitivity of the design to misspecification of these values. In this paper we study the sensitivity theoretically and by simulation, and show that the optimal designs are quite robust. We use the method of cylindrical algebraic decomposition to obtain locally D-optimal designs in the general case.

Affiliated with

Also associated with

No associations

Rating

Robustness of Optimal Designs for 2^2 Experiments with Binary Response does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Robustness of Optimal Designs for 2^2 Experiments with Binary Response, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Robustness of Optimal Designs for 2^2 Experiments with Binary Response will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-498782