Survey experiments are a core tool for causal inference. Yet, the design of classical survey
experiments prevents them from identifying which components of a multidimensional …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

Nonregular fractional factorial designs such as Plackett-Burman designs and other
orthogonal arrays are widely used in various screening experiments for their run size …

Factorial design plays a fundamental role in efficient and economic experimentation with
multiple input variables and is extremely popular in various fields of application, including …

A novel combinatorial criterion, called minimum moment aberration, is proposed for
assessing the goodness of nonregular designs and supersaturated designs. The new …

There are various discrepancies that are measures of uniformity for a set of points on the unit
hypercube. The discrepancies have played an important role in quasi-Monte Carlo methods …

Factorial designs are widely used in many scientific and industrial investigations. The
objective of this book is to provide a rigorous, systematic, and up-to-date treatment of the …

Orthogonal arrays are used widely in manufacturing and high-technology industries for
quality and productivity improvement experiments. For reasons of run size economy or …

Algebraic statistics is a rapidly developing field, where ideas from statistics and algebra
meet and stimulate new research directions. One of the origins of algebraic statistics is the …

When fitting a linear regression model to data, aliasing can adversely affect the estimates of
the model coefficients and the decision of whether or not a term is significant. Optimal …