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 |
|
serial |
ARLID |
cav_un_epca*0257116 |
ISSN |
0378-3758 |
title
|
Journal of Statistical Planning and Inference |
volume_id |
89 |
page_num |
243-267 |
publisher |
|
|
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 |
|