This paper informs a statistical readership about Artificial Neural Networks (ANNs), points
out some of the links with statistical methodology and encourages cross-disciplinary …

We review the role of chaos and the study of chaos in ecology. We use sensitive
dependence on initial conditions as the best heuristic definition of chaos. This definition …

Data-analytic approaches to regression problems, arising from many scientific disciplines
are described in this book. The aim of these nonparametric methods is to relax assumptions …

We describe a statistical approach for identifying nonlinearity in time series. The method first
specifies some linear process as a null hypothesis, then generates surrogate data sets …

A leading pioneer in the field offers practical applications of this innovative science. Peters
describes complex concepts in an easy-to-follow manner for the non-mathematician. He …

Why do organisms become extremely abundant one year and then seem to disappear a few
years later? Why do population outbreaks in particular species happen more or less …

The latest developments in chaos theory-from an industry expert Chaos and Order in the
Capital Markets was the first book to introduce and popularize chaos as it applies to finance …

Chaotic dynamics are thought to be rare in natural populations but this may be due to
methodological and data limitations, rather than the inherent stability of ecosystems …

This text aims to bridge the gap between non-mathematical popular treatments and the
distinctly mathematical publications that non-mathematicians find so difficult to penetrate …

In the last ten years, there has been increasing interest and activity in the general area of
partially linear regression smoothing in statistics. Many methods and techniques have been …