Results 1 to 10 of about 217,796 (165)

Linking Error in the 2PL Model

J, 2023
The two-parameter logistic (2PL) item response model is likely the most frequently applied item response model for analyzing dichotomous data. Linking errors quantify the variability in means or standard deviations due to the choice of items.
Alexander Robitzsch
doaj   +2 more sources

Linking Error Estimation in Haberman Linking

AppliedMath
Haberman linking is a widely used method for comparing groups using the two-parameter logistic item response model. However, the traditional Haberman linking approach relies on joint item parameter estimation, which prevents the application of standard M-
Alexander Robitzsch
doaj   +2 more sources

Linking Error Estimation in Stocking–Lord Linking

Foundations
Stocking–Lord (SL) linking is a widely used linking method based on item response theory (IRT). This article examines the variability in SL linking parameter estimates within the two-parameter logistic (2PL) model.
Alexander Robitzsch
doaj   +2 more sources

A practical and nuanced framework for entity linking evaluation [PDF]

Journal of Biomedical Semantics
Background Entity linking maps textual mentions with entities in vocabularies. While accuracy is the primary metric for entity linking evaluation, it fails to capture the complexity of model behaviour.
Fuqi Xu, Goran Nenadic, Robert Stevens
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Estimation of Standard Error, Linking Error, and Total Error for Robust and Nonrobust Linking Methods in the Two-Parameter Logistic Model

Stats
The two-parameter logistic (2PL) item response theory model is a statistical model for analyzing multivariate binary data. In this article, two groups are brought onto a common metric using the 2PL model using linking methods. The linking methods of mean–
Alexander Robitzsch
doaj   +2 more sources

Analytical Approximation of the Jackknife Linking Error in Item Response Models Utilizing a Taylor Expansion of the Log-Likelihood Function

AppliedMath, 2023
Linking errors in item response models quantify the dependence on the chosen items in means, standard deviations, or other distribution parameters. The jackknife approach is frequently employed in the computation of the linking error.
Alexander Robitzsch
doaj   +1 more source

Robustness of network measures to link errors [PDF]

Physical Review E, 2013
9 pages, 9 ...
Platig, John, Ott, Ed, Girvan, Michelle
openaire   +3 more sources

Genotyping Error Detection Through Tightly Linked Markers [PDF]

Genetics, 2003
Abstract The identification of genotyping errors is an important issue in mapping complex disease genes. Although it is common practice to genotype multiple markers in a candidate region in genetic studies, the potential benefit of jointly analyzing multiple markers to detect genotyping errors has not been investigated.
Guohua, Zou, Deyun, Pan, Hongyu, Zhao
openaire   +2 more sources

Network error correction with unequal link capacities [PDF]

2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2009
This paper studies the capacity of single-source single-sink noiseless networks under adversarial or arbitrary errors on no more than z edges. Unlike prior papers, which assume equal capacities on all links, arbitrary link capacities are considered. Results include new upper bounds, network error correction coding strategies, and examples of network ...
Kim, Sukwon, Ho, Tracey, Effros, Michelle, Avestimehr, Amir Salman   +3 more
openaire   +4 more sources

Transfer of Cultural Codes in Intercultural Communication

Półrocznik Językoznawczy Tertium, 2023
One of the factors affecting the quality of intercultural communication is the correct transmission of the information and semantic component of the codes that implement the model of culture.
Oksana Leontjeva
doaj   +1 more source