Bayesian Reliability presents modern methods and techniques for analyzing reliability data
from a Bayesian perspective. The adoption and application of Bayesian methods in virtually …

This paper argues that the gap between the theoretical utility and the practical utility of the
resource‐based view (RBV) may be narrowed by operationalizing the theory more …

This article addresses the problem of comparing abilities of players from different eras in
professional sports. We study National Hockey League players, professional golfers, and Major …

Scientific investigations frequently involve data from computer experiment(s) as well as related
physical experimental data on the same factors and related response variable(s). There …

… C Shane Reese C Shane Reese 2CS Reese, PhD, is Technical Staff Member, Statistical
Sciences, Los Alamos National Laboratory, Los Alamos, NM. Dr …

This paper presents a fully Bayesian approach that simultaneously combines non-overlapping
(in time) basic event and higher-level event failure data in fault tree quantification. Such …

Long-standing challenges in cluster expansion (CE) construction include choosing how to
truncate the expansion and which crystal structures to use for training. Compressive sensing (…

We address estimating fetal growth and gestation for bowhead whales of the Bering, Chukchi,
and Beaufort seas stock. This population is subject to a subsistence hunt by Eskimo whale …

The systems that statisticians are asked to assess, such as nuclear weapons, infrastructure
networks, supercomputer codes and munitions, have become increasingly complex. It is …

In human motion studies, discrete points such as peak or average kinematic values are
commonly selected to test hypotheses. The purpose of this study was to describe a functional …