Analysis of heart rate variability (HRV) has become a popular non-invasive tool for assessing the activities of autonomic nervous system. Most of the methods were hired from techniques used for time series analysis. Currently used methods are time domain, frequency domain, geometrical and fractal methods. A new technique, which searches for pattern repeatability in a time series, is proposed fo...

in this research, the correlation between precipitation change in southern coasts of caspian sea and variability of sea level pressure have been analyzed by using environmental to circulation approach at time period 1339- 1383. in this respect, we make use of daily precipitation data of the 12 synoptic stations of studied area at surface data base section and prepare the time series matrix of p...

Soil, streamwater and climatic variables were measured hourly over several month periods in two situations in North-East (NE) Scotland, using data loggers and other measuring instruments. One of the locations was on agricultural land near Inverness while the other was at an acidic peat moorland site in the River Dee catchment. The data sets were used to train neural networks using three differe...

Abstract – Various problems in physics and engineering lead to the problem of runlength probability distribution function (pdf) in a finite time series. In this study to find the pdf of run-lengths in such a series, first infinite sequence properties are reviewed and then finite series run length pdf is derived on the basis of simple set theory. This paper presents the derivation of exact run l...

purpose : to evaluate outcome of surgically slanting extraocular muscle insertions in a and v-pattern strabismus methods : in this prospective non-randomized interventional case series, we created a slanting surgical reinsertion line with a 3- 4 mm difference between upper and lower corners of the muscles in 16 patients with a or v strabismus (v-exotropia in 10 patients, a-exotropia in 1 patien...

2017 1. Using information given in appendix A, identify with the periodogram the period of the main seasonal pattern in the time series beer 1. 2. Using information given in appendix B, identify with the periodogram the period of the main seasonal pattern in the time series airpass. 3. Explain R code in appendices A and B. 1 time series are taken from the R package fma, and R outputs are shown ...