Amirkabir University of Technology AUT Journal of Mathematics and Computing 2783-2449 7 2 2026 04 01 New general location models for mixed response 189 200 5659 10.22060/ajmc.2025.23674.1284 EN Ehsan Bahrami Samani Department of Statistics, Faculty of Mathematical Science, Shahid Beheshti University, Tehran, 1983963113, Iran Journal Article 2024 11 14 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. Mixed-data Latent variable Multivariate normal distribution General location model https://ajmc.aut.ac.ir/article_5659_94b087da83ceb5fe6f1a13150f8c0471.pdf