Results 91 to 100 of about 235,462 (293)
Normal Stress Distribution of Rough Surfaces in Contact
, 2000 We study numerically the stress distribution on the interface between two thick elastic media bounded by interfaces that include spatially correlated asperities.
Alex Hansen +26 more
core +2 more sources
Journal of Intellectual Disability Research, EarlyView.ABSTRACT Background Previous studies have identified considerable health outcome disparities for adults with intellectual and developmental disabilities (IDD) as well as poor or ineffective communication between adults with IDD and their medical providers.
Jamie Koenig, Lauren Bishop
wiley +1 more source
, 2009 A method is proposed for generating compact fractal disordered media, by generalizing the random midpoint displacement algorithm. The obtained structures are invasive stochastic fractals, with the Hurst exponent varying as a continuous parameter, as ...
Carbone, Anna +2 more
core +1 more source
South African Journal of Economic and Management Sciences, 2017 Background: Contingent claims on underlying assets are typically priced under a framework that assumes, inter alia, that the log returns of the underlying asset are normally distributed.
Emlyn Flint, Eben Maré
doaj +1 more source
Adaptive Estimation for Weakly Dependent Functional Times Series
Journal of Time Series Analysis, EarlyView.ABSTRACT We propose adaptive mean and autocovariance function estimators for stationary functional time series under 𝕃p−m‐approximability assumptions. These estimators are designed to adapt to the regularity of the curves and to accommodate both sparse and dense data designs.
Hassan Maissoro +2 more
wiley +1 more source
The effect of round-off error on long memory processes
, 2013 We study how the round-off (or discretization) error changes the statistical properties of a Gaussian long memory process. We show that the autocovariance and the spectral density of the discretized process are asymptotically rescaled by a factor smaller
La Spada, Gabriele, Lillo, Fabrizio
core +1 more source
Deep Neural Network Model for Hurst Exponent: Learning from R/S Analysis
MathematicsThis paper proposes a deep neural network (DNN) model to estimate the Hurst exponent, a crucial parameter in modelling stock market price movements driven by fractional geometric Brownian motion.
Luca Di Persio, Tamirat Temesgen Dufera
doaj +1 more source
Investigation of non linear dynamics of an excitable magnetron sputtering plasma
Results in Physics, 2019 In this paper nonlinear dynamical behaviour of an excitable DC magnetron sputtering plasma has been investigated. Initially, plasma exhibited fixed point dynamics whereas with the increase in the discharge voltage, spikes were observed in the floating ...
Gopikishan Sabavath +4 more
doaj +1 more source
Denoising for satellite laser altimetry full-waveform data based on EMD-Hurst analysis
International Journal of Digital Earth, 2020 Full-waveform decomposition is crucial for obtaining accurate satellite-ground distance, the accuracy of which is severely affected by noises. However, the traditional filters all depend on filtering parameters.
Zhijie Zhang +5 more
doaj +1 more source
Know Your Stripes? An Assessment of Climate Warming Stripes as a Graphical Risk Communication Format
Risk Analysis, EarlyView.ABSTRACT Stripe graphs have emerged as a popular format for the visual communication of environmental risks. The apparent appeal of the format has been attributed to its capacity to summarize complex data in an eye‐catching way that can be understood quickly and intuitively by diverse audiences.
Ian G. J. Dawson +3 more
wiley +1 more source