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New general location models for mixed response | ||
| AUT Journal of Mathematics and Computing | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 03 بهمن 1403 | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22060/ajmc.2025.23674.1284 | ||
| نویسنده | ||
| Ehsan Bahrami Samani* | ||
| Department of Statistics, Faculty of Mathematical Science, Shahid Beheshti University, Tehran, 1983963113, Iran | ||
| چکیده | ||
| In this paper, we introduce new general location model for mixed responses including correlated nominal, ordinal and continuous outcomes by using latent variable approach. We discuss regression methods for jointly analysis of continuous and categorical (nominal and ordinal) responses. After presenting the Leon and Carri`ere 'general location model (2007), new general location model is introduced. A full likelihood-based approach is used to obtain maximum likelihood estimations of the models parameters. The proposed model is applied to BMI, Steatosis and Osteoporosis data. | ||
| کلیدواژه‌ها | ||
| Mixed-data؛ Latent variable؛ Multivariate normal distribution؛ General location model | ||
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آمار تعداد مشاهده مقاله: 137 |
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