Salīdzināt metodes
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| Fleiss' Kappa vairāku vērtētāju vienošanās novērtēšanai× | Statistiskā uzticamības analīze× | |
|---|---|---|
| Nozare≠ | Statistika | Drošums |
| Saime≠ | Hypothesis test | Regression model |
| Izcelsmes gads≠ | 1971 | 1998 |
| Autors≠ | Joseph L. Fleiss | William Meeker & Luis Escobar |
| Tips≠ | Non-parametric agreement measure | Parametric lifetime modeling |
| Pirmavots≠ | Fleiss, J.L. (1971). Measuring Nominal Scale Agreement Among Many Raters. Psychological Bulletin, 76(5), 378–382. DOI ↗ | Meeker, W. Q., & Escobar, L. A. (1998). Statistical Methods for Reliability Data. Wiley. ISBN: 978-0-471-14328-4 |
| Citi nosaukumi≠ | multi-rater kappa, Fleiss kappa, Fleiss' Kappa (Çoklu Değerlendirici Uyumu) | Life Data Analysis, Survival Analysis (Engineering), Time-to-Failure Analysis, Güvenilirlik Analizi |
| Saistītās≠ | 2 | 3 |
| Kopsavilkums≠ | Fleiss' Kappa is a non-parametric statistic for measuring the degree of agreement among three or more raters who classify items into mutually exclusive nominal categories. Introduced by Joseph L. Fleiss in 1971 as a generalization of Cohen's Kappa beyond two raters, it corrects observed agreement for the level of agreement expected by chance alone, making it the standard reliability index in medical diagnosis studies, content analysis, and multi-coder research. | Statistical reliability analysis models the time-to-failure of components, systems, or products using parametric lifetime distributions fitted to observed or censored failure data. Formalized comprehensively by William Q. Meeker and Luis A. Escobar in their 1998 Wiley monograph, the framework integrates maximum likelihood estimation, censoring mechanisms, and distributional diagnostics to produce probability-of-failure curves, hazard rates, and quantile estimates that support design, warranty, and maintenance decisions. |
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