This research monograph on circular data analysis covers some recent advances in the
field, besides providing a brief introduction to, and a review of, existing methods and models …

In many scientific disciplines, experiments are conducted in order to get information about
the model or about different characteristics of the data. Quite often more than one variable is …

Trigonometric regression is commonly used to describe cyclic phenomena that occur in the
engineering, biological, and medical sciences. Optimal designs for this model on a complete …

This paper proposes a new class of optimum design criteria for the linear regression model
with r responses based on the volume of the predictive ellipsoid. This is referred to as I^r_L …

An experimental design is said to be Schur optimal, if it is optimal with respect to the class of
all Schur isotonic criteria, which includes Kiefer's criteria of Φp-optimality, distance optimality …

For fitting a circle to a set of noisy data, a statistical treatment is given using a linear model
with heteroscedastic variances when angular differences between successive data points …

There are various methods for fitting data to circles or ellipses in many different types of
applied problems. However, the design of such studies is rarely discussed and for the few …

A coordinate measuring machine (CMM) is a computer-controlled device that uses a probe
to obtain measurements on a manufactured part's surface. In the process of collecting …

Recently, various approximate design problems for low-degree trigonometric regression
models on a partial circle have been solved. In this paper we consider approximate and …

Directional data arise in a variety of applications, and while designed experiments are
moderately rare for circular, cylindrical, and spherical data, there has been some work on …