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Zadkarami, Mohammad Reza, ghalani, Mohammad Reza. (1398). Modelling of Correlated Ordinal Responses, by Using Multivariate Skew Probit with Different Types of Variance Covariance Structures. , 30(4), 363-369. doi: 10.22059/jsciences.2019.260615.1007285
Mohammad Reza Zadkarami; Mohammad Reza ghalani. "Modelling of Correlated Ordinal Responses, by Using Multivariate Skew Probit with Different Types of Variance Covariance Structures". , 30, 4, 1398, 363-369. doi: 10.22059/jsciences.2019.260615.1007285
Zadkarami, Mohammad Reza, ghalani, Mohammad Reza. (1398). 'Modelling of Correlated Ordinal Responses, by Using Multivariate Skew Probit with Different Types of Variance Covariance Structures', , 30(4), pp. 363-369. doi: 10.22059/jsciences.2019.260615.1007285
Zadkarami, Mohammad Reza, ghalani, Mohammad Reza. Modelling of Correlated Ordinal Responses, by Using Multivariate Skew Probit with Different Types of Variance Covariance Structures. , 1398; 30(4): 363-369. doi: 10.22059/jsciences.2019.260615.1007285

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، بهمن 2019، صفحه 363-369    اصل مقاله (344.04 K)
نوع مقاله: Original Paper
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
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