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.
Bahrami Samani, E. (2025). New general location models for mixed response. AUT Journal of Mathematics and Computing, (), -. doi: 10.22060/ajmc.2025.23674.1284
MLA
Bahrami Samani, E. . "New general location models for mixed response", AUT Journal of Mathematics and Computing, , , 2025, -. doi: 10.22060/ajmc.2025.23674.1284
HARVARD
Bahrami Samani, E. (2025). 'New general location models for mixed response', AUT Journal of Mathematics and Computing, (), pp. -. doi: 10.22060/ajmc.2025.23674.1284
CHICAGO
E. Bahrami Samani, "New general location models for mixed response," AUT Journal of Mathematics and Computing, (2025): -, doi: 10.22060/ajmc.2025.23674.1284
VANCOUVER
Bahrami Samani, E. New general location models for mixed response. AUT Journal of Mathematics and Computing, 2025; (): -. doi: 10.22060/ajmc.2025.23674.1284
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