| bibtype |
J -
Journal Article
|
| ARLID |
0410647 |
| utime |
20240103182229.0 |
| mtime |
20060210235959.9 |
| title
(primary) (eng) |
Minimum divergence estimators based on grouped data |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0250791 |
| ISSN |
0020-3157 |
| title
|
Annals of the Institute of Statistical Mathematics |
| volume_id |
53 |
| volume |
2 (2001) |
| page_num |
277-288 |
|
| keyword |
minimum divergence estimators |
| keyword |
random quantization |
| keyword |
asymptotic normality |
| author
(primary) |
| ARLID |
cav_un_auth*0212088 |
| name1 |
Menéndez |
| name2 |
M. L. |
| country |
ES |
|
| author
|
| ARLID |
cav_un_auth*0015540 |
| name1 |
Morales |
| name2 |
D. |
| country |
ES |
|
| author
|
| ARLID |
cav_un_auth*0021073 |
| name1 |
Pardo |
| name2 |
L. |
| country |
ES |
|
| 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) |
It is shown that an optimal grouping of data (quantification) leads to a negligible inefficiency in continuous parametric models. Robust estimators achieving the negligible inefficiency are introduced and their asymptotic theory is established. |
| RIV |
BB |
| department |
SI |
| permalink |
http://hdl.handle.net/11104/0130735 |
| ID_orig |
UTIA-B 20010116 |
| arlyear |
2001 |
| mrcbU63 |
cav_un_epca*0250791 Annals of the Institute of Statistical Mathematics 0020-3157 1572-9052 Roč. 53 č. 2 2001 277 288 |
|