Results 91 to 100 of about 61,093 (305)
Advanced Materials, EarlyView.ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh +2 more
wiley +1 more source
"On a limiting quasi-multinomial distribution" [PDF]
A random clustering distribution is useful for modeling count data. The present article derives a new distribution of this type from the Lagrangian Poisson distribution, based on the result that any infinitely divisible distribution over nonnegative ...
Nobuaki Hoshino
core
Economic Statistical Design of Inverse Gaussian Distribution Control Charts [PDF]
, 1990 Statistical quality control (SQC) is one technique companies are using in the development of a Total Quality Management (TQM) culture. Shewhart control charts, a widely used SQC tool, rely on an underlying normal distribution of the data.
Grayson, James M. (James Morris)
core
Normal inverse Gaussian model [PDF]
, 2010 The normal inverse Gaussian (NIG) process is a Lévy process with no Brownian component and NIG-distributed increments. The NIG process can be constructed either as a process with NIG increments or, alternatively, via random time change of Brownian motion
Wim Schoutens +8 more
core +1 more source
Bayesian Analysis of Inverse Gaussian Stochastic Conditional Duration Model
Journal of Statistical Theory and Applications (JSTA), 2019 This paper discusses Bayesian analysis of stochastic conditional duration model when the innovations follow inverse Gaussian distribution. Estimation is carried out by the methods of Markov Chain Monte Carlo.
C.G. Sri Ranganath, N. Balakrishna
doaj +1 more source
Advanced Materials, EarlyView.The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley +1 more source
"Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student's t-Distribution Models" [PDF]
Bayesian analysis of a stochastic volatility model with a generalized hyperbolic (GH) skew Student's t-error distribution is described where we first consider an asymmetric heavy-tailed error and leverage effects.
Jouchi Nakajima, Yasuhiro Omori
core
Hypothesis testing for the mean of inverse Gaussian distribution using alpha-cuts [PDF]
, 2015 In this study, we modify the method proposed by Buckley to testing statistical hypothesis for the mean of an inverse Gaussian distribution. In order to obtain fuzzy test statistic, we use confidence intervals by the help of alpha-cuts. Then the method is
BACANLI, SEVİL, İÇEN, DUYGU
core +1 more source
The Journal of Engineering, 2019 To improve the detection performance in the presence of target-steering vector mismatches, a novel robust adaptive matched filter (AMF) detector for compound Gaussian clutter is proposed.
Xiaolin Zhang, Liang Yan, Quanhua Liu
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source