Benford's Law and Distractors in Multiple Choice ExamsSuppose that in a multiple choice examination the leading digit of the correct options follows Benford's Law, while the the leading digit of the distractors are uniform. Consider a strategy for…Fred M. Hoppe·Nov 27, 2013SaveLearn
Reliability measures for indexed semi-Markov chains applied to wind energy productionThe computation of the dependability measures is a crucial point in the planning and development of a wind farm. In this paper we address the issue of energy production by wind turbine by using an…Guglielmo D'Amico, Filippo Petroni, Flavio Prattico·Nov 26, 2013SaveLearn
The Transform between the space of observed values and the space of possible values of the parameterIn ref [math.ST/0411462] the notion of statistically dual distributions is introduced. The reconstruction of confidence density [AIP Conference Proceedings 803 (2005) 398] for the location parameter…S. Bityukov, N. Krasnikov, V. Smirnova et al.·Nov 24, 2013SaveLearn
Texture descriptor combining fractal dimension and artificial crawlersTexture is an important visual attribute used to describe images. There are many methods available for texture analysis. However, they do not capture the details richness of the image surface. In…Wesley Nunes Gonçalves, Bruno Brandoli Machado, Odemir Martinez Bruno·Nov 21, 2013SaveLearn
Copulas and time series with long-ranged dependencesWe review ideas on temporal dependences and recurrences in discrete time series from several areas of natural and social sciences. We revisit existing studies and redefine the relevant observables in…Rémy Chicheportiche, Anirban Chakraborti·Nov 20, 2013SaveLearn
Benford's Law: Textbook Exercises and Multiple-choice TestbanksBenford's Law describes the finding that the distribution of leading (or leftmost) digits of innumerable datasets follows a well-defined logarithmic trend, rather than an intuitive uniformity. In…Aaron D. Slepkov, Kevin B. Ironside, David DiBattista·Nov 19, 2013SaveLearn
Revealing Relationships among Relevant Climate Variables with Information TheoryA primary objective of the NASA Earth-Sun Exploration Technology Office is to understand the observed Earth climate variability, thus enabling the determination and prediction of the climate's…Kevin H. Knuth, Anthony Gotera, Charles T. Curry et al.·Nov 19, 2013SaveLearn
Scaled Brownian motion as a mean field model for continuous time random walksWe consider scaled Brownian motion (sBm), a random process described by a diffusion equation with explicitly time-dependent diffusion coefficient D(t) = D0 tα- 1 (Batchelor's equation)…Felix Thiel, Igor M. Sokolov·Nov 14, 2013SaveLearn
Weak ergodicity breaking in an anomalous diffusion process of mixed originsThe ergodicity breaking parameter is a measure for the heterogeneity among different trajectories of one ensemble. In this report this parameter is calculated for fractional Brownian motion with a…Felix Thiel, Igor M. Sokolov·Nov 13, 2013SaveLearn
Computational Assignment of Chemical Shifts for Protein ResiduesFast and accurate protein structure prediction is one of the major challenges in structural biology, biotechnology and molecular biomedicine. These fields require 3D protein structures for rational…Lars A. Bratholm·Nov 13, 2013SaveLearn
Toward the estimation of background fluctuations under newly-observed signals in particle physicsWhen the number of events associated with a signal process is estimated in particle physics, it is common practice to extrapolate background distributions from control regions to a predefined signal…Federico Colecchia·Nov 10, 2013SaveLearn
Performance of multifractal detrended fluctuation analysis on short time seriesThe performance of the multifractal detrended analysis on short time series is evaluated for synthetic samples of several mono- and multifractal models. The reconstruction of the generalized Hurst…Juan Luis Lopez, Jesus Guillermo Contreras·Nov 10, 2013SaveLearn
Community detection for correlation matricesA challenging problem in the study of complex systems is that of resolving, without prior information, the emergent, mesoscopic organization determined by groups of units whose dynamical activity is…Mel MacMahon, Diego Garlaschelli·Nov 8, 2013SaveLearn
Real-Space x-ray tomographic reconstruction of randomly oriented objects with sparse data framesSchemes for X-ray imaging single protein molecules using new x-ray sources, like x-ray free electron lasers (XFELs), require processing many frames of data that are obtained by taking temporally…Kartik Ayyer, Hugh T. Philipp, Mark W. Tate et al.·Nov 7, 2013SaveLearn
Toward particle-level filtering of individual collision events at the Large Hadron Collider and beyondLow-energy strong interactions are a major source of background at hadron colliders, and methods of subtracting the associated energy flow are well established in the field. Traditional approaches…Federico Colecchia·Nov 5, 2013SaveLearn
Statistical properties of position-dependent ball-passing networks in football gamesStatistical properties of position-dependent ball-passing networks in real football games are examined. We find that the networks have the small-world property, and their degree distributions are…Takuma Narizuka, Ken Yamamoto, Yoshihiro Yamazaki·Nov 4, 2013SaveLearn
An extension to GUM methodology: degrees-of-freedom calculations for correlated multidimensional estimatesThe Guide to the Expression of Uncertainty in Measurement advocates the use of an 'effective number of degrees of freedom' for the calculation of an interval of measurement uncertainty.…R. Willink, B. D. Hall·Nov 2, 2013SaveLearn
Error Assessment in Modeling with Fractal Brownian MotionsTo model a given time series F(t) with fractal Brownian motions (fBms), it is necessary to have appropriate error assessment for related quantities. Usually the fractal dimension D is derived…Bingqiang Qiao, Siming Liu·Oct 29, 2013SaveLearn
Disentangling different types of El Niño episodes by evolving climate network analysisComplex network theory provides a powerful toolbox for studying the structure of statistical interrelationships between multiple time series in various scientific disciplines. In this work, we apply…Alexander Radebach, Reik V. Donner, Jakob Runge et al.·Oct 21, 2013SaveLearn
ROAn, a ROOT based Analysis FrameworkThe ROOT based Offline and Online Analysis (ROAn) framework was developed to perform data analysis on data from Depleted P-channel Field Effect Transistor (DePFET) detectors, a type of active pixel…Thomas Lauf, Robert Andritschke·Oct 17, 2013SaveLearn
Efficient Monte Carlo and greedy heuristic for the inference of stochastic block modelsWe present an efficient algorithm for the inference of stochastic block models in large networks. The algorithm can be used as an optimized Markov chain Monte Carlo (MCMC) method, with a fast mixing…Tiago P. Peixoto·Oct 16, 2013SaveLearn
Hierarchical Block Structures and High-resolution Model Selection in Large NetworksDiscovering and characterizing the large-scale topological features in empirical networks are crucial steps in understanding how complex systems function. However, most existing methods used to…Tiago P. Peixoto·Oct 16, 2013SaveLearn
A complexity measure based method for studying the dependence of 222Rn concentration time series on indoor air temperature and humidityWe have suggested a complexity measure based method for studying the dependence of measured 222Rn concentration time series on indoor air temperature and humidity. This method is based on the…Dragutin T. Mihailovic, Vladimir Udovičić, Miodrag Krmar et al.·Oct 15, 2013SaveLearn
Suppression of deterministic and stochastic extreme desynchronization events using anticipated synchronizationWe numerically show that extreme events induced by parameter mismatches or noise in coupled oscillatory systems can be anticipated and suppressed before they actually occur. We show this in a main…Jordi Zamora-Munt, Claudio R. Mirasso, Raul Toral·Oct 14, 2013SaveLearn
A cyclic time-dependent Markov process to model daily patterns in wind turbine power productionWind energy is becoming a top contributor to the renewable energy mix, which raises potential reliability issues for the grid due to the fluctuating nature of its source. To achieve adequate reserve…Teresa Scholz, Vitor V. Lopes, Ana Estanqueiro·Oct 11, 2013SaveLearn