Local Influence Analysis for Quasi-Likelihood Nonlinear Models with Random Effects
Joint Authors
Jiang, J.
Xia, Tian
Jiang, Xuejun
Source
Journal of Probability and Statistics
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-08
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
We propose a quasi-likelihood nonlinear model with random effects, which is a hybrid extension of quasi-likelihood nonlinear models and generalized linear mixed models.
It includes a wide class of existing models as examples.
A novel penalized quasi-likelihood estimation method is introduced.
Based on the Laplace approximation and a penalized quasi-likelihood displacement, local influence of minor perturbations on the data set is investigated for the proposed model.
Four concrete perturbation schemes are considered in the local influence analysis.
The effectiveness of the proposed methodology is illustrated by some numerical examinations on a pharmacokinetics dataset.
American Psychological Association (APA)
Xia, Tian& Jiang, J.& Jiang, Xuejun. 2018. Local Influence Analysis for Quasi-Likelihood Nonlinear Models with Random Effects. Journal of Probability and Statistics،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1197686
Modern Language Association (MLA)
Xia, Tian…[et al.]. Local Influence Analysis for Quasi-Likelihood Nonlinear Models with Random Effects. Journal of Probability and Statistics No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1197686
American Medical Association (AMA)
Xia, Tian& Jiang, J.& Jiang, Xuejun. Local Influence Analysis for Quasi-Likelihood Nonlinear Models with Random Effects. Journal of Probability and Statistics. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1197686
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197686