Efficient and Improved Estimation Strategy in Zero-Inflated Poisson Regression Models
Küçük Resim Yok
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Nature
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
When there is an excess amount of zeros and over-dispersion in the dependent variable, the zero-inflated Poisson regression is usually used to model the data. In most of the situations, researchers may encounter near linear dependencies in the exploratory variables which leads to the collinearity problem. Therefore, we propose to use Liu-type estimator to overcome this problem. We compare our method to the well-known ridge estimator via a Monte Carlo simulation study and real data examples. According to the results, our method is a better alternative in the presence of collinearity. © 2019, Springer International Publishing AG, part of Springer Nature.
Açıklama
Anahtar Kelimeler
Count data models, Ill-conditioned design matrix, Liu-type estimator, Ridge estimator, Zero-inflated poisson regression
Kaynak
Lecture Notes on Multidisciplinary Industrial Engineering
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
Part F46
