TY - JOUR
T1 - Joint Modeling for Zero-Inflated Beta-Binomial and Normal Responses
TT - مدلبندی توأم برای پاسخهای بتادوجملهای صفرآماسیده و نرمال
JF - srtc-jsri
JO - srtc-jsri
VL - 16
IS - 2
UR - http://jsri.srtc.ac.ir/article-1-382-en.html
Y1 - 2020
SP - 397
EP - 407
KW - Random effects
KW - mixed response
KW - the EM algorithm
KW - population survey data.
N2 - We present a new joint model with random effects for the correlated count with extra zero and continuous responses. In this model, we assume a Zero-Inflated Beta-Binomial distribution for the analysis of over dispersed binomial variable and a normal distribution for the analysis of continuous response. Furthermore, a full model likelihood function approach is used to obtain maximum likelihood estimates of the model parameters. We also evaluate the proposed model using the Monte Carlo simulation method. Finally, we fit the model to real data to find effective factors on mixed responses.
M3 10.52547/jsri.16.2.397
ER -