SASfit: A comprehensive tool for small-angle scattering data analysisSmall-angle X-ray and neutron scattering experiments are used in many fields of the life sciences and condensed matter research to obtain answers to questions about the shape and size of nano-sized…Ingo Breßler, Joachim Kohlbrecher, Andreas F. Thünemann·Jun 9, 2015SaveLearn
A highly specific test for periodicityWe present a method that allows to distinguish between nearly periodic and strictly periodic time series. To this purpose, we employ a conservative criterion for periodicity, namely that the time…Gerrit Ansmann·Jun 3, 2015SaveLearn
Allan variance computed in space domain: Application to InSAR data to characterize noise and geophysical signalThe Allan variance was introduced fifty years ago for analyzing the stability of frequency standards. Beside its metrological interest, it is also an estimator of the large trends of the power…Olivier Cavalié, François Vernotte·Jun 3, 2015SaveLearn
An algorithm for discovering Lagrangians automatically from dataAn activity fundamental to science is building mathematical models. These models are used to both predict the results of future experiments and gain insight into the structure of the system under…D. J. A. Hills, A. M. Grütter, J. J. Hudson·Jun 3, 2015SaveLearn
The Parabolic variance (PVAR), a wavelet variance based on least-square fitThis article introduces the Parabolic Variance (PVAR), a wavelet variance similar to the Allan variance, based on the Linear Regression (LR) of phase data. The companion article arXiv:1506.05009…F. Vernotte, M. Lenczner, P. -Y. Bourgeois et al.·Jun 1, 2015SaveLearn
Least square fitting with one parameter lessIt is shown that whenever the multiplicative normalization of a fitting function is not known, least square fitting by χ2 minimization can be performed with one parameter less than usual by…Bernd A. Berg·May 28, 2015SaveLearn
Interplay between Detection Strategies and Stochastic Resonance PropertiesWe discuss how to exploit stochastic resonance with the methods of statistical theory of decisions. To do so, we evaluate two detection strategies: escape time analysis and strobing. For a standard…Paolo Addesso, Vincenzo Pierro, Giovanni Filatrella·May 28, 2015SaveLearn
Comment on Dimensionless Units in the SIThe recent paper by Mohr and Phillips (arXiv:1409.2794) describes several problems relating to the treatment of angle measurement within SI, the unit hertz, and quantities that can be considered…Paul Quincey·May 27, 2015SaveLearn
A Comparison of Limit Setting Methods for the On-Off ProblemWe study the frequentist properties of confidence intervals for the On-Off problem. The methods include all those in common use today. We derive explicit formulas for the limits and calculate the…Wolfgang A. Rolke·May 26, 2015SaveLearn
Predictability of Critical TransitionsCritical transitions in multistable systems have been discussed as models for a variety of phenomena ranging from the extinctions of species to socio-economic changes and climate transitions between…Xiaozhu Zhang, Christian Kuehn, Sarah Hallerberg·May 21, 2015SaveLearn
The development of an information criterion for Change-Point AnalysisChange-point analysis is a flexible and computationally tractable tool for the analysis of times series data from systems that transition between discrete states and whose observables are corrupted…Paul A. Wiggins, Colin H. LaMont·May 21, 2015SaveLearn
Model selection for amplitude analysisModel complexity in amplitude analyses is often a priori under-constrained since the underlying theory permits a large number of possible amplitudes to contribute to most physical processes. The use…Baptiste Guegan, John Hardin, Justin Stevens et al.·May 15, 2015SaveLearn
Search for a Lorentz invariant velocity distribution of a relativistic gasWe examine numerically and analytically the problem of the relativistic velocity distribution in a 1-dim relativistic gas in thermal equilibrium. Our derivation is based on the special theory of…Evaldo M. F. Curado, Felipe T. L. Germani, Ivano Damiao Soares·May 13, 2015SaveLearn
Patterns for the waiting time in the context of discrete-time stochastic processesThe aim of this study is to extend the scope and applicability of the level-crossing method to discrete-time stochastic processes and generalize it to enable us to study multiple discrete-time…Tayeb Jamali, G. R. Jafari, S. Vasheghani Farahani·May 13, 2015SaveLearn
Integration of in situ Imaging and Chord Length Distribution Measurements for Estimation of Particle Size and ShapeEfficient processing of particulate products across various manufacturing steps requires that particles possess desired attributes such as size and shape. Controlling the particle production process…Okpeafoh S. Agimelen, Anna Jawor-Baczynska, John McGinty et al.·May 13, 2015SaveLearn
Combined estimation for multi-measurements of branching ratioA maximum likelihood method is used to deal with the combined estimation of multi-measurements of a branching ratio, where each result can be presented as an upper limit. The joint likelihood…Xiao-Xia Liu, Xiao-Rui Lyu, Yong-Sheng Zhu·May 6, 2015SaveLearn
Intermediate-Level Crossings of a First-Passage PathWe investigate some simple and surprising properties of a one-dimensional Brownian trajectory with diffusion coefficient D that starts at the origin and reaches X either: (i) at time T or (ii)…Uttam Bhat, S. Redner·May 5, 2015SaveLearn
Iterative ensemble smoother as an approximate solution to a regularized minimum-average-cost problem: theory and applicationsThe focus of this work is on an alternative implementation of the iterative ensemble smoother (iES). We show that iteration formulae similar to those used in…Xiaodong Luo, Andreas S. Stordal, Rolf J. Lorentzen et al.·May 5, 2015SaveLearn
Hilbert transform based analyses on ship-rocking signalsThe ship-rocking is a crucial factor which affects the accuracy of the ocean-based flight vehicle measurement. Here we have analyzed four groups of ship-rocking time series in horizontal and vertical…Wei Huang, Yu-jian Li, Deyong Kang et al.·May 4, 2015SaveLearn
Estimation of the directional parameter of the offset exponential and normal distributions in three-dimensional space using the sample meanThe directional precision of the sample mean estimator was calculated analytically for the offset exponential and normal distributions in three-dimensional space both for a finite sample and for…Yaroslav Nikitenko·Apr 29, 2015SaveLearn
Effects of polynomial trends on detrending moving average analysisThe detrending moving average (DMA) algorithm is one of the best performing methods to quantify the long-term correlations in nonstationary time series. Many long-term correlated time series in real…Ying-Hui Shao, Gao-Feng Gu, Zhi-Qiang Jiang et al.·Apr 28, 2015SaveLearn
High dimensional linear inverse modellingWe introduce and demonstrate two linear inverse modelling methods for systems of stochastic ODE's with accuracy that is independent of the dimensionality (number of elements) of the state vector…Fenwick C. Cooper·Apr 28, 2015SaveLearn
Denoise in the pseudopolar grid Fourier space using exact inverse pseudopolar Fourier transformIn this paper I show a matrix method to calculate the exact inverse pseudopolar grid Fourier transform, and use this transform to do noise removals in the k space of pseudopolar grids. I apply the…Jun Wei Fan·Apr 27, 2015SaveLearn
Health risk modelling by transforming a multi-dimensional unknown distribution to a multi-dimensional GaussianThe traditional approach of health risk modelling with multiple data sources proceeds via regression-based methods assuming a marginal distribution for the outcome variable. The data is collected for…V. Kapoor·Apr 22, 2015SaveLearn
Automated weighing by sequential inference in dynamic environmentsWe demonstrate sequential mass inference of a suspended bag of milk powder from simulated measurements of the vertical force component at the pivot while the bag is being filled. We compare the…A. D. Martin, T. C. A. Molteno·Apr 22, 2015SaveLearn