BACKGROUND AND OBJECTIVE Optimal experimental design approaches are seldom used in preclinical drug discovery. The objective is to develop an optimal design software tool specifically designed for preclinical applications in order to increase the efficiency of drug discovery in vivo studies. METHODS Several realistic experimental design case studies were collected and many preclinical experim...

This article provides instructors with guidelines for teaching simple experimental design for the comparison of two treatment groups. Two designs with specific examples are discussed along with common misconceptions that undergraduate students typically bring to the experiment design process. Features of experiment design that maximize power and minimize the effects of interindividual variation...

Inventory management requires optimal determination of (a) “when to order”, and (b) “how much to order”. One also needs here two answers—what should be stocked initially, and should one adjust (a) and (b) as time progresses? This paper uses the Bayesian approach to answer these. It uses the classical (s, Q) model and a heuristic search in the unstructured decision space. It finds that one can m...

Colliding Bodies Optimization (CBO) is a population-based metaheuristic algorithm that complies physics laws of momentum and energy. Due to the stagnation susceptibility of CBO by premature convergence and falling into local optima, some meritorious methodologies based on Sine Cosine Algorithm and a mutation operator were considered to mitigate the shortcomings mentioned earlier. Sine Cosine Al...

In this article, optimization of a black box using designs of experiments is studied. There are two fundamental different branches in optimization using Design of Experiments; higher order Taylor expansions, i.e., response surface methodology, and underdetermined experimental designs, i.e., supersaturated designs. In this article, supersaturated designs are studied. Optimization using design of...

The design of an experiment can greatly affect its potential to produce statistically conclusive results. In this paper, we offer a method for increasing the statistical informativeness of an experiment through the use of adaptive design optimization. The problem to be solved in adaptive design optimization is identifying an experimental design under which one can infer the underlying model and...

Although conventional tests are often used for determining a student’s overall competence, they are seldom used for determining a finegrained model. However, this problem does arise occasionally, such as when a conventional test is used to initialize the student model of an ITS. Existing psychometric techniques for solving this problem are intractable. Straightforward Bayesian techniques are al...

We introduce best response dynamics for settings where agents' preferences are diverse. Under these dynamics, which are defined on the space of Bayesian strategies, rest points and Bayesian Nash equilibria are identical. We prove the existence and uniqueness of solution trajectories to these dynamics, and provide methods of analyzing the dynamics based on aggregation. JEL Classification: C72, C73