| bibtype |
J -
Journal Article
|
| ARLID |
0330346 |
| utime |
20240111140726.7 |
| mtime |
20091023235959.9 |
| DOI |
10.1016/j.jspi.2009.04.009 |
| title
(primary) (eng) |
Adaptive Neyman's smooth tests of homegeneity of two samples of survival data |
| specification |
| page_count |
11 s. |
| media_type |
www |
|
| serial |
| ARLID |
cav_un_epca*0257116 |
| ISSN |
0378-3758 |
| title
|
Journal of Statistical Planning and Inference |
| volume_id |
139 |
| volume |
10 (2009) |
| page_num |
3559-3569 |
| publisher |
|
|
| title
(cze) |
Adaptivní Neymanův test homogenity dvou výběrů v analýze přežití |
| keyword |
Two-sample test |
| keyword |
Neyman's smooth tets |
| keyword |
Survival analysis |
| author
(primary) |
| ARLID |
cav_un_auth*0215861 |
| name1 |
Kraus |
| name2 |
David |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
IAA101120604 |
| agency |
GA AV ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0215816 |
|
| project |
| project_id |
1M06047 |
| agency |
GA MŠk |
| country |
CZ |
| ARLID |
cav_un_auth*0217941 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
The aim is to develop a two-sample test for detection of a wide spectrum of alternatives. A new class of tests based on Neyman's embedding idea is proposed. The null hypothesis is tested against functional alternatives. A data-driven approach to the selection of these alternatives is studied. Asymptotic properties of tests are investigated and small-sample performance is explored, too. |
| abstract
(cze) |
V práci je navržena skupina testů homogenity založená na Neymanově přístupu tak, že alternativy k nulová hypotéze jsou vyjádřeny pomocí spojitých funkcí. Je studován adaptivní přístup k výběru těchto funkcí. Jsou odvozeny asymptotické výsledky pro testy, vlastnosti pro malé výběry jsou zkoumány pomocí Monte Carlo metod. |
| reportyear |
2010 |
| RIV |
BB |
| permalink |
http://hdl.handle.net/11104/0176158 |
| mrcbT16-f |
0.908 |
| mrcbT16-g |
0.14 |
| mrcbT16-h |
7.4 |
| mrcbT16-i |
0.017 |
| mrcbT16-j |
0.623 |
| mrcbT16-k |
2920 |
| mrcbT16-l |
357 |
| mrcbT16-q |
39 |
| mrcbT16-s |
0.906 |
| mrcbT16-y |
20.85 |
| mrcbT16-x |
0.76 |
| arlyear |
2009 |
| mrcbU56 |
pdf |
| mrcbU63 |
cav_un_epca*0257116 Journal of Statistical Planning and Inference 0378-3758 1873-1171 Roč. 139 č. 10 2009 3559 3569 Elsevier |
|