Control charts are one of the principal tools to monitor dynamic processes with the aim of
rapid identification of changes in the behaviour of these processes. Such changes are …

NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING
WITH R Introduction to the methods and techniques of traditional and modern nonparametric …

As Industry 4.0 makes its course into the Chemical Processing Industry (CPI), new
challenges emerge that require an adaptation of the Process Analytics toolkit. In particular …

Wavelet analysis has been found to be a powerful tool for the nonparametric estimation of
spatially-variable objects. We discuss in detail wavelet methods in nonparametric …

Les psychologues et spécialistes du comportement collectent de plus en plus des données
tirées des processus sous-jacents continus. Dans le présent article, nous décrivons un …

A novel Bayesian nonparametric estimator in the wavelet domain is presented. In this
approach, a prior model is imposed on the wavelet coefficients designed to capture the …

Functional data are increasingly encountered in scientific studies, and their high
dimensionality and complexity lead to many analytical challenges. Various methods for …

The influence of the orbital angular momentum l on the mass distribution of fission fragments
is studied, both on previously available data on heavy ion induced fission and in new …

A wavelet-based spectral method for estimating the (directional) Hurst parameter in isotropic
and anisotropic non-stationary fractional Gaussian fields is proposed. The method can be …

This chapter introduces the methods of Fourier and wavelet analysis for enhancing the
signal-to-noise ratio in typical chemometric and other measured data. Fourier analysis has …