On a General Class of Designs for Multiresponse Experiments

On a Class of Aligned Rank Order Tests for Multiresponse Experiments in Some Incomplete Block Designs

Computing Optimal Designs of multiresponse Experiments reduces to Second-Order Cone Programming

Elfving’s Theorem is a major result in the theory of optimal experimental design, which gives a geometrical characterization of c−optimality. In this paper, we extend this theorem to the case of multiresponse experiments, and we show that when the number of experiments is finite, the c−, A−, T− and D−optimal design of multiresponse experiments can be computed by Second-Order Cone Programming (S...

Heteroscedastic T-Optimum Designs for Multiresponse Dynamic Models

a study on thermodynamic models for simulation of 1,3 butadiene purification columns

attempts have been made to study the thermodynamic behavior of 1,3 butadiene purification columns with the aim of retrofitting those columns to more energy efficient separation schemes. 1,3 butadiene is purified in two columns in series through being separated from methyl acetylene and 1,2 butadiene in the first and second column respectively. comparisons have been made among different therm...

Multiresponse Designs and Surrogate Endpoints in Clinical Trials

Incorporating plausible surrogate variates, a general class of incomplete multiresponse designs for clinical trials is considered. In this context, the basic differences between the conventional linear models and survival analysis models are discussed thoroughly. Along with some parametric and semi-parametric procedures, suitable nonparametric ones are considered, and the related asymptotic the...