The Long-Range Analysis of War

2013 ◽  
Author(s):  
Claudio Cioffi-Revilla
Keyword(s):  
Long Range ◽  
Range Analysis

Empirical Evidence of Hurst Exponent Estimation Wavelet Based

2014 ◽  
Vol 687-691 ◽  
pp. 1668-1671
Author(s):  
Bin Luo ◽  
Tong Zhou Zhao ◽  
De Hua Li ◽  
Dun Bo Cai
Keyword(s):  
Long Range ◽  
Hurst Exponent ◽  
Wavelet Spectrum ◽  
Long Range Dependence ◽  
Range Analysis ◽  
Data Set ◽  
Massive Data Set ◽  
Rescaled Range ◽  
Rescaled Range Analysis ◽  
Original Time

In this paper, we study long-range dependence of hydrological records with high frequent and massive data set. For detecting breakpoints, we apply the Evolutionary Wavelet Spectrum (EWS) to provide a segmentation of the original time series. And rescaled range analysis (R/S) for estimating the Hurst exponent that describe the long-range dependence phenomenon are used. The results affirm that the hydrological records have long-range dependent (LRD) behaviors.

Visualizing patterns of appraisal in texts and corpora

2013 ◽  
Vol 33 (4-5) ◽  
Author(s):  
Bandar Alhumaidi A. Almutairi
Keyword(s):  
Discourse Analysis ◽  
Long Range ◽  
Systemic Functional Linguistics ◽  
High Dimensional Data ◽  
High Dimensional ◽  
Range Analysis ◽  
Text Visualization ◽  
Functional Linguistics ◽  
Visualization Systems

AbstractThis paper addresses the need for text visualization systems that can support discourse analysis. While fruitful work has been undertaken exploring the paradigmatic axis in systemic functional linguistics, there is much scope for complementary modeling along the syntagmatic axis. However, in exploring long-range text patterns we face the problem that it is difficult for a human analyst to track complex and unfolding relationships in what is high-dimensional data. I introduce AppAnn, a system designed to support linguists in undertaking such long-range analysis and demonstrate how it can be used to visualize patterns of appraisal in texts.

Measuring long-range correlations in news flow intensity time series

2017 ◽  
Vol 28 (08) ◽  
pp. 1750103 ◽  
Author(s):  
Sergei Sidorov ◽  
Alexey Faizliev ◽  
Vladimir Balash
Keyword(s):  
Time Series ◽  
Fourier Transform ◽  
Long Range ◽  
Fluctuation Analysis ◽  
Range Analysis ◽  
Crossover Effect ◽  
Transform Method ◽  
Long Range Correlations ◽  
Rescaled Range Analysis ◽  
Flow Intensity

We consider the flow intensity of economic and financial news taken from a nine-month period of 2015. This data is found to be well approximated by a persistent self-affine walk. It is characterized by a Hurst exponent of [Formula: see text] over three orders of magnitude in time ranging from minutes to several days. In this paper, we use the Detrended Fluctuation Analysis (DFA) of order 1, Rescaled Range Analysis (R/S) and Fourier Transform Method (FTM) to examine long-range auto-correlation and self-similarity of time series of news flow intensity. DFA method allowed us to reveal a strong scaling behavior as well as to detect a distinct crossover effect. On the other hand, it turns out that for the classic R/S analysis and Fourier transform techniques, the scaling regimes and/or positions of cross-overs are hard to define.

The Long-Range Analysis of War

1991 ◽  
Vol 21 (4) ◽  
pp. 603 ◽  
Author(s):  
Claudio Cioffi-Revilla
Keyword(s):  
Long Range ◽  
Range Analysis

Long Range Analysis and Compensation of Smear in Sweep Aerial Remote Sensing

2013 ◽  
Vol 33 (7) ◽  
pp. 0711001 ◽  
Author(s):  
刘志明 Liu Zhiming ◽  
朱明 Zhu Ming ◽  
陈黎 Chen Li ◽  
李清军 Li Qingjun ◽  
张雪菲 Zhang Xuefei ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Long Range ◽  
Range Analysis ◽  
Aerial Remote Sensing
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