Modelling of Correlated Ordinal Responses, by Using Multivariate Skew Probit with Different Types of Variance Covariance Structures | ||
| Journal of Sciences, Islamic Republic of Iran | ||
| مقاله 6، دوره 30، شماره 4، زمستان 2019، صفحه 363-369 اصل مقاله (344.04 K) | ||
| نوع مقاله: Original Research Articles | ||
| شناسه دیجیتال (DOI): 10.22059/jsciences.2019.260615.1007285 | ||
| نویسندگان | ||
| Mohammad Reza Zadkarami* 1؛ Mohammad Reza ghalani2 | ||
| 1Statistics dept., Mathematical Sciences and computer college, shahid Chamran university of Ahvaz, Ahvaz, Iran | ||
| 2Statistics Dept. Mathematical Sciences and Computer college, Shahid Chamran university of Ahvaz, Ahvaz, Iran | ||
| چکیده | ||
| In this paper, a multivariate fundamental skew probit (MFSP) model is used to model correlated ordinal responses which are constructed from the multivariate fundamental skew normal (MFSN) distribution originate to the greater flexibility of MFSN. To achieve an appropriate VC structure for reaching reliable statistical inferences, many types of variance covariance (VC) structures are considered to model MFSN. Simulation methods are used to find the properties of the parameters estimate. The Schizophrenia Collaborative Study data invokes the proposed MFSN model. The results confirm that the first-order autoregressive (AR(1)) structure substantially enhances the estimation of the parameters. Furthermore, over time the drugs effect the schizophrenia treatment, noticeably. | ||
| کلیدواژهها | ||
| Ordinal response؛ Multivariate fundamental skew probit؛ Variance covariance structures | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 640 تعداد دریافت فایل اصل مقاله: 502 |
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