Results 51 to 60 of about 178 (128)

Bias and precision in true‐score estimation

open access: yesBritish Journal of Mathematical and Statistical Psychology, Volume 79, Issue 3, Page 720-743, November 2026.
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

Hyperbolic band theory. [PDF]

open access: yesSci Adv, 2021
Maciejko J, Rayan S.
europepmc   +1 more source

A taxonomy of reliability indices for cluster‐level constructs measured by multiple individual‐level indicators

open access: yesBritish Journal of Mathematical and Statistical Psychology, Volume 79, Issue 3, Page 513-546, November 2026.
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

Robust CDF‐Filtering of a Location Parameter

open access: yesJournal of Time Series Analysis, Volume 47, Issue 6, Page 1113-1123, November 2026.
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

Accurate agreement estimation in crowdsourced relevance assessments via statistical models based on the beta distribution

open access: yesStatistica Neerlandica, Volume 80, Issue 4, November 2026.
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

A Nonlinear Extension of Parametric Model Embedding for Dimensionality Reduction in Parametric Shape Design

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 20, 30 October 2026.
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

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