| bibtype |
J -
Journal Article
|
| ARLID |
0474065 |
| utime |
20240103214005.7 |
| mtime |
20170420235959.9 |
| SCOPUS |
85014910914 |
| WOS |
000395716300012 |
| DOI |
10.1080/07474946.2016.1275501 |
| title
(primary) (eng) |
On Locally Most Powerful Sequential Rank Tests |
| specification |
| page_count |
15 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0290597 |
| ISSN |
0747-4946 |
| title
|
Sequential Analysis |
| volume_id |
36 |
| volume |
1 (2017) |
| page_num |
111-125 |
|
| keyword |
nonparametric tests |
| keyword |
sequential ranks |
| keyword |
stopping variable |
| author
(primary) |
| ARLID |
cav_un_auth*0345793 |
| full_dept (cz) |
Stochastická informatika |
| full_dept (eng) |
Department of Stochastic Informatics |
| department (cz) |
SI |
| department (eng) |
SI |
| full_dept |
Department of Stochastic Informatics |
| name1 |
Kalina |
| name2 |
Jan |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0345381 |
| project_id |
GA17-07384S |
| agency |
GA ČR |
|
| project |
| ARLID |
cav_un_auth*0308814 |
| project_id |
Neuron |
| agency |
Nadační fond na podporu vědy |
| country |
CZ |
|
| abstract
(eng) |
Sequential ranks are defined as ranks of such observations, which have been observed so far in a sequential design. This article studies hypotheses tests based on sequential ranks for different situations. The locally most powerful sequential rank test is derived for the hypothesis of randomness against a general alternative, including the two-sample difference in location or regression in location as special cases for the alternative hypothesis. Further, the locally most powerful sequential rank tests are derived for the one-sample problem and for independence of two samples in an analogous spirit as the classical results of Hájek and Šidák (1967) for (classical) ranks. The locally most powerful tests are derived for a fixed sample size and the results bring arguments in favor of existing tests. In addition, we propose a sequential testing procedure based on these statistics of the locally most powerful tests. Principles of such sequential testing are explained on the two-sample Wilcoxon test based on sequential ranks. |
| RIV |
BA |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10101 |
| reportyear |
2018 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0271179 |
| confidential |
S |
| mrcbC86 |
3+4 Article Statistics Probability |
| mrcbC86 |
3+4 Article Statistics Probability |
| mrcbC86 |
3+4 Article Statistics Probability |
| mrcbT16-e |
STATISTICSPROBABILITY |
| mrcbT16-j |
0.343 |
| mrcbT16-s |
0.318 |
| mrcbT16-B |
21.39 |
| mrcbT16-D |
Q4 |
| mrcbT16-E |
Q4 |
| arlyear |
2017 |
| mrcbU14 |
85014910914 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000395716300012 WOS |
| mrcbU63 |
cav_un_epca*0290597 Sequential Analysis 0747-4946 1532-4176 Roč. 36 č. 1 2017 111 125 |
|