| bibtype |
J -
Journal Article
|
| ARLID |
0410789 |
| utime |
20240103182239.3 |
| mtime |
20060210235959.9 |
| title
(primary) (eng) |
Durbin-Watson statistic for the least trimmed squares |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0293025 |
| ISSN |
1212-074X |
| title
|
Bulletin of the Czech Econometric Society |
| volume_id |
8 |
| volume |
14 (2001) |
| page_num |
1-40 |
|
| keyword |
diagnostics |
| keyword |
robustness |
| keyword |
regression |
| author
(primary) |
| ARLID |
cav_un_auth*0101225 |
| name1 |
Víšek |
| name2 |
Jan Ámos |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| COSATI |
12B |
| cas_special |
| project |
| project_id |
255/2000/A EK/FSV |
| agency |
GA UK |
| country |
CZ |
|
| research |
CEZ:AV0Z1075907 |
| abstract
(eng) |
Diagnostics is nowadays an inseparable part of any data processing theory. Robust statistics still did not pay sufficient attention to the fact the methods have to be equipped by ample scale of diagnostics which are able to regocnize whether the assumptions (under which given method was derived) are fulfilled. The present paper is a very first step in this direction. |
| RIV |
BB |
| department |
SI |
| permalink |
http://hdl.handle.net/11104/0130876 |
| ID_orig |
UTIA-B 20020003 |
| arlyear |
2001 |
| mrcbU63 |
cav_un_epca*0293025 Bulletin of the Czech Econometric Society 1212-074X Roč. 8 č. 14 2001 1 40 |
|