Results 101 to 110 of about 8,923 (240)
neonSoilFlux: An R package for continuous sensor‐based estimation of soil CO2 fluxes
Abstract Accurate quantification of soil carbon fluxes is essential to reduce uncertainty in estimates of the terrestrial carbon sink. However, these fluxes vary over time and across ecosystem types and so, it can be difficult to estimate them accurately across large scales.
John Zobitz +11 more
wiley +1 more source
From tetrachoric to kappa: How to assess reliability on binary scales
Abstract Reliability is crucial in psychometrics, reflecting the extent to which a measurement instrument can discriminate between individuals or items. While classical test theory and intraclass correlation coefficients are well‐established for quantitative scales, estimating reliability for binary outcomes presents unique challenges due to their ...
Sophie Vanbelle
wiley +1 more source
Quadrature Compound: An approximating family of distributions
Compound distributions allow construction of a rich set of distributions. Typically they involve an intractable integral. Here we use a quadrature approximation to that integral to define the quadrature compound family. Special care is taken that this approximation is suitable for computation of gradients with respect to distribution parameters.
Dillon, Josh, Langmore, Ian
openaire +2 more sources
Asymptotic standard errors for reliability coefficients in item response theory
Abstract In a recent review, Liu et al. (Psychological Methods, 2025b) classified reliability coefficients into two types: classical test theory (CTT) reliability and proportional reduction in mean squared error (PRMSE). This article focuses on quantifying the sampling variability of these coefficients under item response theory (IRT) models.
Youjin Sung, Yang Liu
wiley +1 more source
SDFs from Unoriented Point Clouds using Neural Variational Heat Distances
We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from unoriented point clouds. We first compute a small time step of heat flow (middle) and then use its gradient directions to solve for a neural SDF (right). Abstract We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from ...
Samuel Weidemaier +5 more
wiley +1 more source
ABSTRACT Characterization of the crack tip, such as the stress intensity factor (SIF), is a vital step for the assessment of fatigue crack growth and prediction of potential failure in engineering structures. This study investigates the use of thermoelastic stress analysis (TSA) for SIF evaluation, including a methodology for non‐adiabatic stress field
John Codrington +3 more
wiley +1 more source
Energy transfer in volume-reflecting heat shields [PDF]
An approximate analytic solution is provided for the unsteady radiative heating of a highly scattering medium under constant heat flux boundary conditions.
Weston, K. C.
core +1 more source
Life Cycle Consumption and Portfolio Choice Under Real Interest Rate Risk
ABSTRACT We set up a life cycle model with real interest rate risk to demonstrate that real interest rates have implications for optimal household consumption and investments. Lower interest rates lead to higher optimal stock investments and lower consumption.
Marcel Fischer, Natascha Jankowski
wiley +1 more source
The Decentralization of Liquor Policies in Texas During the Post‐Prohibition Era
ABSTRACT We examine the decentralization of liquor policies in Texas during the Post‐Prohibition era using newly collected historical legislative roll call data. By combining these data with local referendum vote shares, we analyze both legislators' and constituents' preferences on liquor policy.
Andrew Arnold, Holger Sieg
wiley +1 more source
Specification Tests for Jump‐Diffusion Models Based on the Characteristic Function
Summary Goodness‐of‐fit tests are suggested for several popular jump‐diffusion processes. The suggested test statistics utilise the marginal characteristic function of the model and its L2‐type discrepancy from an empirical counterpart. Model parameters are estimated either by minimising the aforementioned L2‐type discrepancy or by maximum likelihood ...
Gerrit Lodewicus Grobler +3 more
wiley +1 more source

