bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0410404 |
utime |
20240103182211.8 |
mtime |
20060210235959.9 |
ISBN |
0-7803-5857-0 |
title
(primary) (eng) |
Information-theoretic methods in testing the goodness of fit |
publisher |
place |
New York |
name |
IEEE |
pub_time |
2000 |
|
specification |
|
serial |
title
|
Proceedings of the 2000 IEEE International Symposium on Information Theory |
page_num |
28 |
|
author
(primary) |
ARLID |
cav_un_auth*0211826 |
name1 |
Györfi |
name2 |
L. |
country |
HU |
|
author
|
ARLID |
cav_un_auth*0211928 |
name1 |
Morvai |
name2 |
G. |
country |
HU |
|
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 |
09J |
cas_special |
project |
project_id |
GA102/99/1137 |
agency |
GA ČR |
ARLID |
cav_un_auth*0004432 |
|
research |
AV0Z1075907 |
abstract
(eng) |
We present a new approach to evaluating the efficiency of some typical statistics for testing the goodness of fit. Since the Pitman approach is too weak to detect sufficiently sharply the differences in efficiency of these statistics, the attention is focused on the Pitman efficiency. |
action |
ARLID |
cav_un_auth*0212686 |
name |
ISIT 2000 |
place |
Sorrento |
country |
IT |
dates |
25.06.2000-30.06.2000 |
|
RIV |
BD |
department |
SI |
permalink |
http://hdl.handle.net/11104/0130493 |
ID_orig |
UTIA-B 20000120 |
arlyear |
2000 |
mrcbU10 |
2000 |
mrcbU10 |
New York IEEE |
mrcbU12 |
0-7803-5857-0 |
mrcbU63 |
Proceedings of the 2000 IEEE International Symposium on Information Theory 28 |
|