… in spectral analysis of short-term (less than 10 min) recordings of cardiovascular
variability … whose parameters are estimated on corresponding time series of normal, post-myocardial …

… Several transformations have been devised by a range of scientists for time series analysis;
we categorized them in two different sets due to their conceptual difference. The first one is …

… and uniform analysis of 25 ASCA observations from 23 narrow-line Seyfert 1 galaxies.
The time series analysis is presented in this paper, Part 1, and the spectral analysis and corre…

… Time series analysis represents the simplest means of evaluating variability, identifying
measures of variation over time … For example, quantitative time series analysis is performed on …

… We propose temporal Poincaré variability (TPV), a novel analysis methodology that uses …
for physiological variability. In addition, the analysis is applied across multiple time delays, …

… serial dependence. In order to measure false alarm and miss rates while varying serial
dependence, amount of random variability… -case design and analysis were required to assess the …

… time series the PS (even in the maximum entropy … with the analysis of time series, here
we consider the case of … statistical approaches to the analysis of time series in astronomy. …

… time series analysis, which is a combination of the maximum entropy method (MEM) for
spectral analysis … method (LSM) for fitting analysis in the time domain. The MEM plus LSM …

… for specified time series and less on climate variability. The … variability and elucidated the
trend and its magnitude, for T Max , T Min, and precipitation from the daily available time series …

… show a diminished variability in the times series generated by schizophrenic patients in both
the training and the test sets (reflected by the fact that points in the time series generated by …