TY - JOUR ID - 13102 TI - Augmented Mixed Beta Regression and Modeling of Employed Proportions in Households JO - Journal of Advanced Mathematical Modeling JA - JAMM LA - en SN - 2251-8088 AU - Fallah Mohsenkhani, Zohreh AU - Mohammadzadeh, Mohsen AD - Department of Statistics, Tarbiat Modares University AD - Department of Statistics, Tarbiat Modares University, Tehran, Iran Y1 - 2017 PY - 2017 VL - 7 IS - 1 SP - 19 EP - 36 KW - Augmented Beta Regression KW - Bayesian Analysis KW - Labour Force Survey KW - Beta Distribution KW - Mixed Model DO - 10.22055/jamm.2017.13102 N2 - The Beta regression model is usually used for modeling the rates or proportions confined in an open interval (0,1). In some studies, the data may also include zero and one. In this paper, an augmented Beta regression model that is a mixture of Beta distribution with two degenerated distributions at 0 and 1 is presented for rates or proportions confined in [0,1]. For the augmented mixed Beta model with reparametrization of Beta distribution, the mean and precision parameters were modeled including fixed and random effects. This is while taking into account that the random effects make these models applicable to correlated data. Here, the augmented mixed Beta model is presented. Then this model is evaluated in a simulation study. Next, the application of this model is shown for analyzing the proportions of employed persons in every household. Finally, conclusion and results are presented. UR - https://jamm.scu.ac.ir/article_13102.html L1 - https://jamm.scu.ac.ir/article_13102_ae9d185d573117753e9661309f2ede54.pdf ER -