Results 91 to 100 of about 452,503 (268)
Chlorophyll-A Time Series Study on a Saline Mediterranean Lagoon: The Mar Menor Case
The Mar Menor, Europe’s largest saline lagoon, has experienced significant eutrophication. The concentration of chlorophyll-a (Chl-a) in the water is used as a critical indicator of this eutrophication process and can alert us to possible ecosystemic ...
Arnau Garcá-i-Cucó +4 more
doaj +1 more source
Pricing stock options under stochastic volatility and interest rates with efficient method of moments estimation [PDF]
While the stochastic volatility (SV) generalization has been shown to improve the explanatory power over the Black-Scholes model, empirical implications of SV models on option pricing have not yet been adequately tested.
Jiang, George J. +1 more
core +1 more source
Fractional cointegrating regressions in the presence of linear time trends [PDF]
We consider regressions of nonstationary fractionally integrated variables dominated by linear time trends. The regression errors are short memory, long memory or even nonstationary, and hence allow for a very flexible cointegration model.
Hassler, Uwe, Marmol, Francesc
core +1 more source
An overview of design principles and scalable fabrication strategies for multifunctional bio‐based packaging. Radiative cooling films, modified‐atmosphere films/membranes, active antimicrobial/antioxidant platforms, intelligent optical/electrochemical labels, and superhydrophobic surfaces are co‐engineered from material chemistry to mesoscale structure
Lei Zhang +6 more
wiley +1 more source
Attenuation bias---the systematic underestimation of regression coefficients due to measurement errors in input variables---affects astronomical data-driven models.
Yuan-Sen Ting
doaj +1 more source
"Moment-Based Estimation of Smooth Transition Regression Models with Endogenous Variables" [PDF]
Nonlinear regression models have been widely used in practice for a variety of time series and cross-section datasets. For purposes of analyzing univariate and multivariate time series data, in particular, Smooth Transition Regression (STR) models have ...
Marcelo C. Medeiros +2 more
core
An active learning framework, grounded in independently generated in‐house experimental data, enables reliable discovery of high‐performance interfacial materials for perovskite solar cells. Iterative model refinement autonomously converges toward structurally robust quaternary ammonium architectures, establishing a new design principle for interfacial
Jongbeom Kim +8 more
wiley +1 more source
A Comparative Study of Neural Network Models for China’s Soybean Futures Price Forecasting
Accurate prediction of soybean futures prices is crucial for agricultural risk management and market decision-making. This study systematically evaluated nine state-of-the-art deep learning models—iTransformer, TFT, TCN, TimesNet, PatchTST, TiDE, TSMixer,
Xin Dai +7 more
doaj +1 more source
Anthropometric multicompartmental model to predict body composition In Brazilian girls
Background Anthropometric models remain appropriate alternatives to estimate body composition of peripubertal populations. However, these traditional models do not consider other body components that undergo major changes during peripubertal growth spurt,
Dalmo Machado +5 more
doaj +1 more source
Anion‐exchange doping of conjugated polymers is an effective way to achieve high conductivities. Here, we report over 2000 S cm−1 electrical conductivity for doped P(g3BTTT). In addition, we show that P(g3BTTT) sustains exceptionally high doping levels without any drop in the charge mobility.
Basil Hunger +14 more
wiley +1 more source

