Results 51 to 60 of about 178 (128)
Twisted Chiral Algebras of Class S and Mixed Feigin-Frenkel Gluing. [PDF]
Beem C, Nair S.
europepmc +1 more source
Bias and precision in true‐score estimation
Abstract We discuss two approaches to estimating the true score from classical test theory, each with a corresponding measure of uncertainty due to measurement error: the classical method with the standard error of measurement (SEM) and Kelley's method with the standard error of estimation (SEE).
L. Andries van der Ark +3 more
wiley +1 more source
Abstract Generalizability theory (GT) provides a variety of intraclass correlation coefficients (ICCs) to quantify reliability across different conditions of measurement—for example, scale and interrater reliability quantify generalization across items and raters, respectively.
Terrence D. Jorgensen, Suzanne Jak
wiley +1 more source
Heegaard Floer homology for manifolds with torus boundary: properties and examples. [PDF]
Hanselman J, Rasmussen J, Watson L.
europepmc +1 more source
Robust CDF‐Filtering of a Location Parameter
ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania +2 more
wiley +1 more source
Vitreous Carbon, Geometry and Topology: A Hollistic Approach. [PDF]
Mélinon P.
europepmc +1 more source
Abstract Data crowdsourcing is often used to collect relevance assessments in information retrieval tasks. However, estimating the agreement among crowdworkers is nontrivial, since data is sparse and often collected on a variety of rating scales.
Giuseppe Alfonzetti +2 more
wiley +1 more source
Ising Model on Random Triangulations of the Disk: Phase Transition. [PDF]
Chen L, Turunen J.
europepmc +1 more source
ABSTRACT Dimensionality reduction is essential in simulation‐based shape design, where high‐dimensional parameterizations hinder optimization, surrogate modeling, and systematic design‐space exploration. Parametric Model Embedding (PME) addresses this issue by constructing reduced variables from geometric information while preserving an explicit ...
Andrea Serani +2 more
wiley +1 more source

