Results 51 to 60 of about 561,804 (322)
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Some Notes about Inference for the Lognormal Diffusion Process with Exogenous Factors
Different versions of the lognormal diffusion process with exogenous factors have been used in recent years to model and study the behavior of phenomena following a given growth curve.
Patricia Román-Román +2 more
doaj +1 more source
The Distribution of the Domination Number of a Family of Random Interval Catch Digraphs [PDF]
We study a new kind of proximity graphs called proportional-edge proximity catch digraphs (PCDs)in a randomized setting. PCDs are a special kind of random catch digraphs that have been developed recently and have applications in statistical pattern ...
Ceyhan, Elvan
core
Rosenblatt distribution subordinated to gaussian random fields with long-range dependence [PDF]
The Karhunen-Lo\`eve expansion and the Fredholm determinant formula are used to derive an asymptotic Rosenblatt-type distribution of a sequence of integrals of quadratic functions of Gaussian stationary random fields on R^d displaying long-range ...
Leonenko, N. N. +2 more
core +1 more source
Curvature‐tuned auxetic lattices are designed, fabricated, and mechanically characterized to reveal how geometric curvature governs stretchability, stress redistribution, and Poisson's ratio evolution. Photoelastic experiments visualize stress pathways, while hyperelastic simulations quantify deformation mechanics.
Shuvodeep De +3 more
wiley +1 more source
Pseudorandom functions whose asymptotic distributions are asymptotically gaussian
Given an ergodic transformation T on the Lebesgue space ([0,1],dx) and a continuous function h(x) \((\int^{1}_{0}h(x)dx=0)\), we are interested in asymptotic behaviours of the pseudorandom functions, \(q_{\theta}(t;x)=\sqrt{\theta}\cdot h(T^{[\theta t]}x)\) (x\(\in (0,1)\), \(\theta >0)\).
openaire +2 more sources
Asymptotic Distribution of Symmetric Statistics
Sequences of $m$th order symmetric statistics are examined for convergence in law. Under appropriate conditions, a limiting distribution exists and is equivalent to that of a linear combination of products of Hermite polynomials of independent $N(0, 1)$ random variables. Connections with the work of von Mises, Hoeffding, and Filippova are noted.
Rubin, H., Vitale, R. A.
openaire +3 more sources
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Testing Homogeneity for Poisson Processes Prueba de homogeneidad para procesos de Poisson
We developed an asymptotically optimal hypothesis test concerning the homogeneity of a Poisson process over various subintervals. Under the null hypothesis, maximum likelihood estimators for the values of the intensity function on the subintervals are ...
ALEJANDRA TAPIA, RAÚL FIERRO
doaj
The accuracy of merging approximation in generalized St. Petersburg games
Merging asymptotic expansions of arbitrary length are established for the distribution functions and for the probabilities of suitably centered and normalized cumulative winnings in a full sequence of generalized St. Petersburg games, extending the short
A. Bikelis +18 more
core +1 more source

