@Article{JICS-12-107,
author = {Huihui Sun},
title = {Testing for outliers in nonlinear longitudinal data models based on M-estimation},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {12},
number = {2},
pages = {107--112},
abstract = { In  this  paper  we  propose  and  analyze  nonlinear  mixed-effects  models  for  longitudinal  data, 
obtaining  robust  maximum  likelihood  estimates  for  the  parameters  by  introducing  Huber’s  function  in  the 
log-likelihood  function.  Furthermore,  the  test  for  outliers  in  the  model  based  on  robust  estimation  is 
investigated  through  generalized  Cook’s  distance.  The  obtained  results  are  illustrated  by  plasma 
concentrations data presented in Davidian and Giltiman, which was analyzed under the non-robust situation. 
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22486.html}
}