One of the most important aspects of time series is their degree of stochasticity vs. chaoticity.
Since the discovery of chaotic maps, many algorithms have been proposed to discriminate …

Called the" bible of applied statistics," the first two editions of the Handbook of Parametric
and Nonparametric Statistical Procedures were unsurpassed in accessibility, practicality …

In an earlier paper (Durbin & Watson, 1950) the authors investigated the problem of testing
the error terms of a regression model for serial correlation. Test criteria were put forward …

Geostatistics is essential for environmental scientists. Weather and climate vary from place
to place, soil varies at every scale at which it is examined, and even man-made attributes …

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 …

The subject of time series is of considerable interest, especiallyamong researchers in
econometrics, engineering, and the naturalsciences. As part of the prestigious Wiley Series …

A great deal of use has undoubtedly been made of least squares regression methods in
circumstances in which they are known to be inapplicable. In particular, they have often …

A new, revised edition of a yet unrivaled work on frequency domain analysis Long
recognized for his unique focus on frequency domain methods for the analysis of time series …

The homogenization of climate data is of major importance because non-climatic factors
make data unrepresentative of the actual climate variation, and thus the conclusions of …

We point out that autocorrelated error terms require modification of the usual methods of
estimation and prediction; and we present evidence showing that the error terms involved in …