Data series generated by complex systems exhibit fluctuations on many time scales and/or
broad distributions of the values. In both equilibrium and non-equilibrium situations, the …

Research into cardiovascular variabilities intersects both human physiology and quantitative
modelling. This is because respiratory and Mayer wave (or 10 s) cardiovascular oscillations …

This is the second edition of Climate Time Series Analysis which was first published in 2010.
In this digital age, a second edition means not that the first edition of a book has been sold …

The series aims to: present current and emerging innovations in GIScience; describe new
and robust GIScience methods for use in transdisciplinary problem solving and decision …

Half a century ago Hurst introduced Rescaled Range (R/S) Analysis to study fluctuations in
time series. Thousands of works have investigated or applied the original methodology and …

Long-range correlation properties of stochastic time series y (i) have been investigated by
introducing the function σ 2 MA=[y (i)-(i)] 2, where (i) is the moving average of y (i), defined …

We examine several recently suggested methods for the detection of long-range correlations
in data series based on similar ideas as the well-established Detrended Fluctuation Analysis …

The science of complexity aims to answer the question of what rules nature chooses when
assembling the basic constituents of matter and energy into structures and dynamical …

Notwithstanding the significant efforts to develop estimators of long-range correlations (LRC)
and to compare their performance, no clear consensus exists on what is the best method …

Power-law scaling of near surface air temperature fluctuations and its geographical
distribution is analyzed in 100-yr observations and in a 1000-yr simulation of the present …