Results 61 to 70 of about 45,889 (225)

Exponential Stability of Higher Order Fractional Neutral Stochastic Differential Equation Via Integral Contractors

Mathematical Methods in the Applied Sciences, Volume 48, Issue 6, Page 6425-6446, April 2025.
ABSTRACT The well‐posedness results for mild solutions to the fractional neutral stochastic differential system with Rosenblatt process with Hurst index Ĥ∈12,1$$ \hat{H}\in \left(\frac{1}{2},1\right) $$ is discussed in this article. To demonstrate the results, the concept of bounded integral contractors is combined with the stochastic result and ...
Dimplekumar N. Chalishajar, Dhanalakshmi Kasinathan, Ramkumar Kasinathan, Ravikumar Kasinathan   +3 more
wiley   +1 more source

Bayesian Inference for the Gamma Zero-Truncated Poisson Distribution with an Application to Real Data

Symmetry
This article presents Bayesian estimation methods applied to the gamma zero-truncated Poisson (GZTP) and the complementary gamma zero-truncated Poisson (CGZTP) distributions, encompassing both one-parameter and two-parameter models.
P. Srisuradetchai, Ausaina Niyomdecha
semanticscholar   +1 more source

Existence Analysis of a Three‐Species Memristor Drift‐Diffusion System Coupled to Electric Networks

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT The existence of global weak solutions to a partial‐differential‐algebraic system is proved. The system consists of the drift‐diffusion equations for the electron, hole, and oxide vacancy densities in a memristor device, the Poisson equation for the electric potential, and the differential‐algebraic equations for an electric network.
Ansgar Jüngel, Tuấn Tùng Nguyến
wiley   +1 more source

An Extension of the Blinder-Oaxaca Decomposition to Non-Linear Models [PDF]

In this paper, a general Blinder-Oaxaca decomposition is derived that can also be applied to non-linear models, which allows the differences in a non-linear outcome variable between two groups to be decomposed into a part that is explained by differences
Mathias Sinning, Thomas Bauer
core  

Lessons Learned From Using Simple Supervised Learning Tools on Small‐Ensemble Data—Applicability to Tunnel Design and Monitoring

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Integrating interdisciplinary strategies with artificial intelligence (AI), particularly machine learning (ML), is an effective way of addressing urgent engineering challenges. Therefore, a thorough evaluation of existing methodologies is essential, taking into account their respective strengths, limitations and opportunities.
Lina‐María Guayacán‐Carrillo, Jean‐Michel Pereira, Jean Sulem   +2 more
wiley   +1 more source

Inferring breeding phenology and reproductive success from the emergence of juveniles in population monitoring

Oikos, EarlyView.
Phenological shifts caused by climate change are increasingly documented in wild populations. These events may be inferred by examining changes in population abundance and age structure throughout the breeding season, often using citizen science. However, several gaps still limit optimal use of such data.
Paul Cuchot, Luis‐Miguel Chevin
wiley   +1 more source

An Inflated Modelling of Zero Truncated Poisson Ailamujia Distribution and Its Application to Child Mortality and Genetics Count Data

Journal of scientific research
In this paper, an attempt has been made to develop a model as Inflated form of zero truncated Poisson Ailamujia distribution. The proposed model involved two parameters, estimated by the maximum likelihood estimation method and derived as an expression ...
A. Agarwal, H. Pandey
semanticscholar   +1 more source

An Improved Fast Computational Method for Vibration Characteristic Analysis of Dry‐Type Iron Core Reactor

High Voltage, EarlyView.
ABSTRACT Structural mechanics field simulation plays a critical role in the vibration characteristic analysis of electrical equipment. Existing structural field analysis of equipment based on numerical simulation faces challenges such as convergence difficulties and prolonged computational time, failing to meet the demand for real‐time prediction of ...
Wanqing Wang, Caibo Liao, Bang Liu, Kai Li, Wenyu Liu, Zhaoguo Li, Xianfa Tian   +6 more
wiley   +1 more source

Zero-truncated Poisson-Bilal distribution and its applications to biological sciences

Communications in Mathematical Biology and Neuroscience
: This paper proposes a zero-truncated version of the Poisson-Bilal distribution called the zero-truncated Poisson-Bilal (ZTPB) distribution. The ZTPB distribution with one parameter can be used to model extremely right-skewed and one-inflated count data
Thanasate Akkanphudit
semanticscholar   +1 more source

Estimating Causal Effects With Observational Data: Guidelines for Agricultural and Applied Economists

Journal of Agricultural Economics, EarlyView.
ABSTRACT Most research questions in agricultural and applied economics are causal in nature: they study how changes in one or more variables (such as policies, prices or weather) affect one or more other variables (e.g., income, crop yields or pollution).
Arne Henningsen, Guy Low, David Wuepper, Tobias Dalhaus, Hugo Storm, Dagim Belay, Stefan Hirsch   +6 more
wiley   +1 more source