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| 강건 라쉬 모형× | 강건 신뢰도 분석× | |
|---|---|---|
| 분야≠ | 심리측정학 | 실험설계 |
| 계열≠ | Latent structure | Process / pipeline |
| 기원 연도≠ | 1982 | 1980s–1990s (integration formalized in engineering literature) |
| 창시자≠ | Mislevy & Bock (robust ability estimation); broader robust IRT formalized through 1980s–2000s | Synthesized from Taguchi robust design and classical reliability theory (Kececioglu, Taguchi) |
| 유형≠ | Robust item calibration model | Quantitative reliability engineering method |
| 원전≠ | 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. DOI ↗ | Kececioglu, D. (1991). Reliability Engineering Handbook (Vol. 1). Prentice Hall. ISBN: 978-0137720774 |
| 별칭 | robust IRT Rasch, robust dichotomous Rasch, outlier-resistant Rasch model, robust item calibration | RRA, reliability robustness analysis, uncertainty-aware reliability analysis, robust probabilistic reliability |
| 관련≠ | 5 | 4 |
| 요약≠ | 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. |
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