New variances for various kappa coefficients based on the unbiased estimator of the expected index of agreements
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866929307594522624 |
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| author | Andrés, Antonio Martín Hernández, María Álvarez |
| author_facet | Andrés, Antonio Martín Hernández, María Álvarez |
| contents | Recently Martín Andrés and Álvarez Hernández (2024) have proposed new estimators of various kappa coefficients. These estimators are based on the unbiased estimator of the expected index of agreement of each population coefficient. In their article, these authors propose variance formulas based on the univariate delta method. Here new formulas are proposed that are based on the multivariate delta method. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_06295 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | New variances for various kappa coefficients based on the unbiased estimator of the expected index of agreements Andrés, Antonio Martín Hernández, María Álvarez Statistics Theory Recently Martín Andrés and Álvarez Hernández (2024) have proposed new estimators of various kappa coefficients. These estimators are based on the unbiased estimator of the expected index of agreement of each population coefficient. In their article, these authors propose variance formulas based on the univariate delta method. Here new formulas are proposed that are based on the multivariate delta method. |
| title | New variances for various kappa coefficients based on the unbiased estimator of the expected index of agreements |
| topic | Statistics Theory |
| url | https://arxiv.org/abs/2404.06295 |