Detecting spatial homogeneity in the world trade web with Detrended Fluctuation AnalysisIn a spatially embedded network, that is a network where nodes can be uniquely determined in a system of coordinates, links' weights might be affected by metric distances coupling every pair of…Riccardo Chiarucci, Franco Ruzzenenti, Maria I. Loffredo·Aug 2, 2013SaveLearn
Insight into the Properties of the UK Power Consumption Using a Linear Regression and Wavelet Transform ApproachIn this paper, the relationship between the Gross Domestic Product (GDP), air temperature variations and power consumption is evaluated using the linear regression and Wavelet Coherence (WTC)…Samir Avdakovic, Alma Ademovic, Amir Nuhanovic·Jul 31, 2013SaveLearn
Dynamics of stainless steel turning: Analysis by flicker-noise spectroscopyWe use flicker-noise spectroscopy (FNS), a phenomenological method for the analysis of time and spatial series operating on structure functions and power spectrum estimates, to identify and study…Grzegorz Litak, Yuriy S. Polyakov, Serge F. Timashev et al.·Jul 31, 2013SaveLearn
Selection and orientation of different particles in single particle imagingThe short pulses of X-ray free electron lasers can produce diffraction patterns with structural information before radiation damage destroys the particle. The particles are injected into the beam in…Miklós Tegze, Gábor Bortel·Jul 30, 2013SaveLearn
Oscillating EntropyThe log-periodic equation for the entropy S = - (k/a) Σi=1N pi (a pi), based on the forgotten Sharma-Taneja entropy measure, is studied for the first time with N the total…E. Canessa·Jul 25, 2013SaveLearn
Applications of the Beta Distribution Part 1: Transformation Group ApproachA transformation group approach to the prior for the parameters of the beta distribution is suggested which accounts for finite sets of data by imposing a limit to the range of parameter values under…Robert W. Johnson·Jul 24, 2013SaveLearn
Complex Network Approach to the Statistical Features of the Sunspot SeriesComplex network approaches have been recently developed as an alternative framework to study the statistical features of time-series data. We perform a visibility-graph analysis on both the daily and…Yong Zou, Michael Small, Zonghua Liu et al.·Jul 24, 2013SaveLearn
Simply conceiving the Arrhenius law and absolute kinetic constants using the geometric distributionAlthough first-order rate constants are basic ingredients of physical chemistry, biochemistry and systems modeling, their innermost nature is derived from complex physical chemistry mechanisms. The…Denis Michel·Jul 17, 2013SaveLearn
Information and treatment of unknown correlations in the combination of measurements using the BLUE methodWe discuss the effect of large positive correlations in the combinations of several measurements of a single physical quantity using the Best Linear Unbiased Estimate (BLUE) method. We suggest a new…Andrea Valassi, Roberto Chierici·Jul 15, 2013SaveLearn
Combining upper limits with a Bayesian approachWe discuss how to determine and combine upper limits based on observed events and estimated backgrounds with a Bayesian method, when insignificant signals are observed in independent measurements. In…Liu Yang, Kai Zhu, Yongsheng Zhu et al.·Jul 15, 2013SaveLearn
The Multipoint Morisita Index for the Analysis of Spatial PatternsIn many fields, the spatial clustering of sampled data points has many consequences. Therefore, several indices have been proposed to assess the level of clustering affecting datasets (e.g. the…J. Golay, M. Kanevski, C. Vega Orozco et al.·Jul 14, 2013SaveLearn
Effects of maximal fluctuation moment q and detrending polynomial orders on the observed multifractal features within MFDFAWe focus on the importance of q moments range used within multifractal detrended fluctuation analysis (MFDFA) to calculate the generalized Hurst exponent spread and multifractal properties of…Grzegorz Pamuła, Dariusz Grech·Jul 13, 2013SaveLearn
Enhanced reconstruction of weighted networks from strengths and degreesNetwork topology plays a key role in many phenomena, from the spreading of diseases to that of financial crises. Whenever the whole structure of a network is unknown, one must resort to…Rossana Mastrandrea, Tiziano Squartini, Giorgio Fagiolo et al.·Jul 8, 2013SaveLearn
On the multifractal effects generated by monofractal signalsWe study quantitatively the level of false multifractal signal one may encounter while analyzing multifractal phenomena in time series within multifractal detrended fluctuation analysis (MF-DFA). The…Dariusz Grech, Grzegorz Pamuła·Jul 8, 2013SaveLearn
Chi-square goodness of fit tests for weighted histograms. Review and improvementsWeighted histograms are used for the estimation of probability density functions. Computer simulation is the main domain of application of this type of histogram. A review of chi-square goodness of…Nikolai Gagunashvili·Jul 5, 2013SaveLearn
Solar Activity and Transformer Failures in the Greek National Electric GridWe study both the short term and long term effects of solar activity on the large transformers (150kV and 400kV) of the Greek national electric grid. We use data analysis and various analytic and…Ioannis P. Zois·Jul 4, 2013SaveLearn
Extraction of the Solvation Structure on a Solid Plate from a force curve measured by Surface Force Apparatus in a hard-sphere fluidWe propose a method of transformation from a force curve obtained with a surface force apparatus (SFA) to a density distribution of a liquid near a surface. The method is based on the statistical…Ken-ich Amano, Ohgi Takahashi·Jul 3, 2013SaveLearn
Memory and long-range correlations in chess gamesIn this paper we report the existence of long-range memory in the opening moves of a chronologically ordered set of chess games using an extensive chess database. We used two mapping rules to build…Ana L. Schaigorodsky, Juan I. Perotti, Orlando V. Billoni·Jul 2, 2013SaveLearn
Using Data to Tune Nearshore Dynamics Models: A Bayesian Approach with Parametric LikelihoodWe propose a modification of a maximum likelihood procedure for tuning parameter values in models, based upon the comparison of their output to field data. Our methodology, which uses polynomial…Nusret Balci, Juan M. Restrepo, Shankar C. Venkataramani·Jul 2, 2013SaveLearn
A program for SAXS data processing and analysisA computer program for small angle X-ray scattering (SAXS) data processing and analysis named S.exe written in Intel Visual Fortran has been developed. This paper briefly introduces its main theory…Zhi-hong Li·Jul 1, 2013SaveLearn
Temporal fluctuation scaling in nonstationary counting processesThe fluctuation scaling law has universally been observed in a wide variety of phenomena. For counting processes describing the number of events occurred during time intervals, it is expressed as a…Shinsuke Koyama·Jun 28, 2013SaveLearn
Low-Rank Separated Representation Surrogates of High-Dimensional Stochastic Functions: Application in Bayesian InferenceThis study introduces a non-intrusive approach in the context of low-rank separated representation to construct a surrogate of high-dimensional stochastic functions, e.g., PDEs/ODEs, in order to…AbdoulAhad Validi·Jun 23, 2013SaveLearn
Multiplicative Modeling of Children's Growth and Its Statistical PropertiesWe develop a numerical growth model which can predict the statistical properties of the height distribution of Japanese children. Our previous studies have clarified that the height distribution of…Hiroto Kuninaka, Mitsugu Matsushita·Jun 17, 2013SaveLearn
Non-global parameter estimation using local ensemble Kalman filteringWe study parameter estimation for non-global parameters in a low-dimensional chaotic model using the local ensemble transform Kalman filter (LETKF). By modifying existing techniques for using…Thomas Bellsky, Jesse Berwald, Lewis Mitchell·Jun 14, 2013SaveLearn
Analysis of data in the form of graphsWe discuss the problem of extending data mining approaches to cases in which data points arise in the form of individual graphs. Being able to find the intrinsic low-dimensionality in ensembles of…Karthikeyan Rajendran, Ioannis G. Kevrekidis·Jun 14, 2013SaveLearn