Some bootstrap methods in nonlinear mixed-effect models
type: Item
instance of: scholarly article
title: Some bootstrap methods in nonlinear mixed-effect models
zbMATH Open document ID: 0943.62036
DOI: 10.1016/S0378-3758(98)00145-1
author: Shubhabrata Das
author: Alok Krishen
published in: Journal of Statistical Planning and Inference
publication date: 2000-09-10T00:00:00Z
Mathematics Subject Classification ID: 62G09
Mathematics Subject Classification ID: 62J02
zbMATH DE Number: 1326665
zbMATH Keywords: fixed effects
zbMATH Keywords: heteroscedasticity
zbMATH Keywords: jackknife
zbMATH Keywords: random effects
zbMATH Keywords: resampling
MaRDI profile type: Publication
cites work: Q3339960
cites work: Bootstrap methods: another look at the jackknife
cites work: Bootstrapping regression models
cites work: Bootstrap procedures under some non-i.i.d. models
cites work: Efficiency and robustness in resampling
cites work: A maximum likelihood estimation method for random coefficient regression models
cites work: Jackknife, bootstrap and other resampling methods in regression analysis
full work available at URL: s0378-3758(98)00145-1
OpenAlex ID: W2076881231
Recommended article: Parametric bootstrap methods for bias correction in linear mixed models
Recommended article: Q3349792
Recommended article: Q4424477
Recommended article: Bootstrap procedures under some non-i.i.d. models
Recommended article: Q3730861
Recommended article: Q3543445
Recommended article: Bootstrap for generalized linear models
Recommended article: Q3134991
description: scientific article; zbMATH DE number 1326665