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 -