Popular algorithms for optimal design do not account for non-exchangeability of the basic experimental units. This paper introduces an algorithm for searching for D-optimal experimental designs in the presence of certain kinds of non-exchangeability|in particular, when there are xed covariates associated with units and/or when the units have a non-trivial covariance structure; this algorithm ex...

The following article presents the application of an evolutionary strategy to produce nearly optimal design matrices, containing the parameter settings to execute an experiment. The properties of such matrices significantly determine the precision of the optimization models used in Robust Parameter Design (RPD). The methodology presented allows the user to produce new experimental design matric...

Th is research examines the ex-ante optimal U.S. Social Security benefi t structure using the model developed in Nishiyama and Smetters (2007). Whereas NS2007 analyzed the effi ciency of diff erent, specifi c alternative designs of the U.S. Social Security system, the current paper attempts to derive the ex-ante best system design among a larger range of diff erent potential Social Security fo...

Permanent magnet synchronous generators (PMSG) have a huge potential for direct-drive wind power applications. Therefore, optimal design of these generators is necessary to maximize their efficiency and to reduce their manufacturing cost and total volume. In this paper, an optimal design of a six-phase 3.5 KW direct-drive PMSG to generate electricity for domestic needs is performed. The aim of ...

An experimental design is said to be c-optimal if it minimizes the variance of the best linear unbiased estimator of cTβ , where c is a given vector of coefficients, and β is an unknown vector parameter of the model in consideration. For a linear regression model with uncorrelated observations and a finite experimental domain, the problem of approximate c-optimality is equivalent to a specific ...

In this work we focus on observational data and on the use of large data sets to implement an experimental design without additional runs, for an efficient use of these data, exploiting theory about optimal designs. More specifically, the proposed procedure is based on several steps and is an extension of a previous work. Furthermore, the final optimal design can be obtained discriminating betw...

Viscoelastic materials can today be found in a wide range of practical applications. In order to make efficient use of these materials in construction, it is of importance to know how they behave when subjected to dynamic load. Characterization of viscoelastic materials is therefore an important topic, that has received a lot of attention over the years. This thesis treats different nonparametr...

In the common linear regression model we consider the problem of designing experiments for estimating the slope of the expected response in a regression. We discuss locally optimal designs, where the experimenter is only interested in the slope at a particular point, and standardized minimax optimal designs, which could be used if precise estimation of the slope over a given region is required....

The Michaelis-Menten model has and continues to be one of the most widely used models in many diverse fields. In the biomedical sciences, the model continues to be ubiquitous in biochemistry, enzyme kinetics studies, nutrition science and in the pharmaceutical sciences. Despite its wide ranging applications across disciplines, design issues for this model are given short shrift. This paper focu...