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Copula-based Berkson measurement error models | ||
| Iranian Journal of Fuzzy Systems | ||
| دوره 19، شماره 4، مهر و آبان 2022، صفحه 165-175 اصل مقاله (535.73 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22111/ijfs.2022.7094 | ||
| نویسندگان | ||
| A. R. Ziaei1؛ K. Zare* 1؛ A. Sheikhi2 | ||
| 1Department of Statistics, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran | ||
| 2Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University, Kerman, Iran | ||
| چکیده | ||
| In this work, we consider the joint distribution function as well as the copula of $(X+Z,Y)$ where the random vector $(X, Y, Z)$ is characterized by a copula $C_{X,Y,Z}$. We use this copula to analyze a Berkson measurement error model. By presenting a general form of a Berkson measurement error model with copula-dependent random variables, we investigate some of its special cases. Some theoretical results, several examples as well as a simulation study, are proposed for illustration. | ||
| کلیدواژه‌ها | ||
| Copula؛ noise؛ perturbation of copula؛ measurement error | ||
| مراجع | ||
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