Stated choice experiments are often used in transportation studies for estimating and forecasting behavior of travelers, road authorities, etc. This kind of experiments rely on underlying experimental designs. Whilst orthogonal designs are mainstream for practitioners, many researchers now realize that so-called efficient designs are able to produce more efficient data in the sense that more re...

In the past few years, marketing researchers have been increasingly using sophisticated computerized search algorithms to find experimental designs. This paper reviews some fundamentals of experimental design, orthogonality, and balance, and introduces the idea of design efficiency. It then compares some widely available design software including Sawtooth Software's CVA and SAS Institute's OPTE...

Follow up what we will offer in this article about single case and small n experimental designs. You know really that this book is coming as the best seller book today. So, when you are really a good reader or you're fans of the author, it does will be funny if you don't have this book. It means that you have to get this book. For you who are starting to learn about something new and feel curio...

Statistical methods based on ranking are known to be versatile and powerful techniques. Nonparametric rank tests for two-way analysis of variance have been studied by several authors, for example: rank transform (RT ) proposed by Conover and Iman (1981); asymptotic theory of RT discussed by Hora and Conover (1984), Akritas (1990) and Thompson and Ammann (1990). McKean and Vidman (1994) suggeste...

In this paper, we propose a primal IP method for solving the optimal experimental design problem with a large class of smooth convex optimality criteria, including A-, Dand pth mean criterion, and establish its global convergence. We also show that the Newton direction can be computed efficiently when the size of the moment matrix is small relative to the sample size. We compare our IP method w...

The information of interest is contained in the variance matrix, σ − = 2 1 V Q , or equivalently in the information matrix Q . The problem of finding estimators minimizing a decreasing convex functional of the variance matrix or maximizing an increasing concave functional of the information matrix is crucial in statistics. There are several optimality criteria in bibliography. We explain how th...

For the Weibulland Richards-regression model robust designs are determined by maximizing a minimum of Dor D1-efficiencies, taken over a certain range of the non-linear parameters. It is demonstrated that the derived designs yield a satisfactory solution of the optimal design problem for this type of model in the sense that these designs are efficient and robust with respect to misspecification ...

This paper documents the design of an experiment to test a debugging oracle assistant. A debugging oracle is responsible for judging correctness of program parts or program states. A programmer usually acts as a debugging oracle. The goal of a debugging oracle assistant is to improve the programmer’s speed and accuracy. Factors that complicate our design process include: (1) programmer variabil...

We consider the problem of experimental design when the response is modeled by a generalized linear model (GLM) and the experimental plan can be determined sequentially. Most previous research on this problem has been limited either to one-factor, binary response experiments or to augmenting the design when there are already sufficient data to compute parameter estimates. We suggest a new proce...