bibtype J - Journal Article
ARLID 0410382
utime 20240103182210.2
mtime 20060210235959.9
title (primary) (eng) Necessary and sufficient conditions for consistency of M-estimates in regression models with general errors
specification
page_count 25 s.
serial
ARLID cav_un_epca*0257116
ISSN 0378-3758
title Journal of Statistical Planning and Inference
volume_id 89
page_num 243-267
publisher
name Elsevier
author (primary)
ARLID cav_un_auth*0212436
name1 Berlinet
name2 A.
country FR
author
ARLID cav_un_auth*0015549
name1 Liese
name2 F.
country DE
author
ARLID cav_un_auth*0101218
name1 Vajda
name2 Igor
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
COSATI 12B
cas_special
project
project_id GA102/99/1137
agency GA ČR
ARLID cav_un_auth*0004432
research AV0Z1075907
abstract (eng) From consistency results on estimators asymptotically minimizing a general criterion, we derive necessary and sufficient conditions for the convergence of approximate M-estimators in nonlinear regression models with nonstationary and/or dependent errors. Special attention is paid to models with errors satisfying the law of large numbers.
RIV BB
department SI
permalink http://hdl.handle.net/11104/0130471
ID_orig UTIA-B 20000098
arlyear 2000
mrcbU63 cav_un_epca*0257116 Journal of Statistical Planning and Inference 0378-3758 1873-1171 Roč. 89 1/2 2000 243 267 Elsevier