Comparer des méthodes

	Modèle Rasch robuste	Analyse de fiabilité robuste
Domaine	Psychométrie	Plans d'expériences
Famille	Latent structure	Process / pipeline
Année d'origine	1982	1980s–1990s (integration formalized in engineering literature)
Auteur d'origine	Mislevy & Bock (robust ability estimation); broader robust IRT formalized through 1980s–2000s	Synthesized from Taguchi robust design and classical reliability theory (Kececioglu, Taguchi)
Type	Robust item calibration model	Quantitative reliability engineering method
Source fondatrice	Strobl, C., Wickelmaier, F., & Zeileis, A. (2011). Accounting for individual differences in Bradley-Terry models by means of recursive partitioning. Journal of Educational and Behavioral Statistics, 36(2), 135–153.	Kececioglu, D. (1991). Reliability Engineering Handbook (Vol. 1). Prentice Hall. ISBN: 978-0137720774
Alias	robust IRT Rasch, robust dichotomous Rasch, outlier-resistant Rasch model, robust item calibration	RRA, reliability robustness analysis, uncertainty-aware reliability analysis, robust probabilistic reliability
Apparentées	5	4
Résumé	The robust Rasch model applies the standard one-parameter logistic Rasch framework with estimation procedures designed to limit the influence of outlying item responses, aberrant respondents, or mild model violations, producing stable item and person parameter estimates that are less sensitive to data contamination than ordinary maximum likelihood or conditional maximum likelihood Rasch estimation.	Robust reliability analysis is an engineering method that combines classical reliability estimation with robustness principles to quantify and improve system dependability in the presence of parameter uncertainty and variability. Rather than assuming fixed input values, it propagates distributions of noise factors through a reliability model to produce probability-of-failure estimates that remain valid across a range of operating conditions and manufacturing tolerances.