Results 41 to 50 of about 462 (184)

Uncertainty Quantification in Planning Aircraft Ground Movement Operations With Towbarless Robotic Tractors

International Journal of Robust and Nonlinear Control, Volume 36, Issue 5, Page 2542-2556, 25 March 2026.
ABSTRACT This article addresses the problem of quantifying the uncertainty in planning aircraft ground movement operations using towbarless robotic tractors taking into account the inherent uncertainties of the problem, specifically, the uncertainties in the weight of the aircraft and in the rolling resistance of the wheels of the main landing gear ...
Almudena Buelta, Alberto Olivares, Ernesto Staffetti   +2 more
wiley   +1 more source

Joint Probability Distribution of Wind–Wave Actions Based on Vine Copula Function

Journal of Marine Science and Engineering
During its service life, a deep-sea floating structure is likely to encounter extreme marine disasters. The combined action of wind and wave loads poses a threat to its structural safety.
Yongtuo Wu, Yudong Feng, Yuliang Zhao, Saiyu Yu   +3 more
doaj   +1 more source

Vine Copula-Based Classifiers with Applications

Journal of Classification
Abstract The vine pair-copula construction can be used to fit flexible non-Gaussian multivariate distributions to a mix of continuous and discrete variables. With multiple classes, fitting univariate distributions and a vine to each class lead to posterior probabilities over classes that can be used for discriminant analysis.
Özge Şahin, Harry Joe
openaire   +3 more sources

Does ESG Investing Pay off? Comparing the Performance of ESG and Traditional ETFs Across European and US Markets

Business Strategy and the Environment, Volume 35, Issue 3, Page 3561-3606, March 2026.
ABSTRACT Investors have long recognized the importance of firms in promoting sustainability, leading to the rise of socially responsible investment (SRI). Specifically, there is a growing preference for exchange‐traded funds (ETFs) that prioritize environmental, social, and governance (ESG) principles.
Sandra Tenorio‐Salgueiro, Andrea Martínez‐Salgueiro, Rubén Lado‐Sestayo, Milagros Vivel‐Búa   +3 more
wiley   +1 more source

Harnessing Deep Learning for Dual Gains in S2S‐Scale Soil Moisture Forecasting and Flash Drought Mechanisms

Water Resources Research, Volume 62, Issue 3, March 2026.
Abstract Flash drought (FD), so‐named for its abrupt and unforeseen onset, poses a significant challenge to forecasting, as current Numerical Weather Prediction (NWP) shows limited skill in the sub‐seasonal to seasonal timescale (S2S, 2‐week to 2‐month range).
Gui‐bin Yang, Jian‐xia Chang, Lu Zhang, Jong‐hun Kam, Yi Zheng, Yi‐min Wang, Ai‐jun Guo, Arif Hussain, An‐qi Liu   +8 more
wiley   +1 more source

Market Insurance and Risk Pooling in U.S. Crop Insurance

Agricultural Economics, Volume 57, Issue 2, March 2026.
ABSTRACT A common assumption is that multiple‐peril crop insurance markets suffer from market failures, thus justifying government intervention in the form of premium subsidies, operating allowances, and reinsurance agreements. One prominent rationale for intervention involves geographic correlation in agricultural production which leads to systemic ...
Fan Fan, Yong Liu, A. Ford Ramsey, David J. Leatham   +3 more
wiley   +1 more source

Assessing Efficiency of D-Vine Copula ARMA-GARCH Method in Value at Risk Forecasting: Evidence from PSE Listed Companies

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2015
The article points out the possibilities of using static D-Vine copula ARMA-GARCH model for estimation of 1 day ahead market Value at Risk. For the illustration we use data of the four companies listed on Prague Stock Exchange in range from 2010 to 2014.
Václav Klepáč, David Hampel
doaj   +1 more source

Flexible methods for species distribution modeling with small samples

Ecography, Volume 2026, Issue 2, February 2026.
Species distribution models (SDMs) predict where species live or could potentially live and are a key resource for ecological research and conservation decision‐making. However, current SDM methods often perform poorly for rare or inadequately sampled species, which include most species on earth, as well as most of those of the greatest conservation ...
Brian S. Maitner, Robert L. Richards, Ben S. Carlson, John M. Drake, Cory Merow   +4 more
wiley   +1 more source

Return Period of Nonconcurrent Climate Compound Events: A Nonparametric Bivariate Generalized Pareto Approach

Environmetrics, Volume 37, Issue 1, January 2026.
ABSTRACT Compound events (CEs), commonly defined as the “combination of multiple drivers and/or hazards that contributes to societal or environmental risk”, often result in amplified impacts compared to individual hazards. In order to estimate the return period of bivariate CEs, a novel nonparametric approach employing bivariate Generalized Pareto ...
Grégoire Jacquemin, Denis Allard, Xavier Freulon, Mathieu Vrac   +3 more
wiley   +1 more source

Spatial Analysis of Agricultural Waste and By‐Products to Tackle the Water–Energy Nexus in Rural Mozambique

Global Challenges, Volume 10, Issue 1, January 2026.
This study presents a geographic information system‐based, participatory methodology to identify high‐potential zones for agricultural waste valorization in rural Mozambique. By integrating spatial data with local knowledge, it reveals opportunities for bioenergy production and sustainable water use. The findings support circular development strategies,
Giuseppe Mancuso, Valentina Morini, Gonzalo A. Martinez, Attilio Toscano, Francesca Valenti   +4 more
wiley   +1 more source