DETERMINING THE NO-OBSERVED-ADVERSE-EFFECT LEVEL IN CATEGORICAL DATA - Collections

＜journal article＞
DETERMINING THE NO-OBSERVED-ADVERSE-EFFECT LEVEL IN CATEGORICAL DATA

Creator	Creator Name Nishiyama, Harutoshi 西山, 治利 Affiliation Affiliation Name Department of Mathematics, Kyushu University 九州大学数学科
Creator	Author PID K000492 Creator Name Yanagawa, Takashi 柳川, 堯 Affiliation Affiliation Name Department of Mathematics, Kyushu University 九州大学数学科
Language	English
Publisher	Research Association of Statistical Sciences
Publisher	統計科学研究会
Date	1994-03
Source Title	Bulletin of informatics and cybernetics
Vol	26
Issue	1/2
First Page	141
Last Page	152
Publication Type	Version of Record
Access Rights	open access
Crossref DOI	https://doi.org/10.5109/13439
Related DOI	Bulletin of informatics and cybernetics \|\| 26(1/2) \|\| p141-152
Related DOI	http://bic.math.kyushu-u.ac.jp/
Related URI	Bulletin of informatics and cybernetics \|\| 26(1/2) \|\| p141-152
Related URI	http://bic.math.kyushu-u.ac.jp/
Relation	Bulletin of informatics and cybernetics \|\| 26(1/2) \|\| p141-152
Relation	http://bic.math.kyushu-u.ac.jp/
Abstract	We discuss the determination of the no-observed-adverse-effect level (NOAEL) from a categorical data. Recently a method which incorporated the order regtriction into the multiple testing was proposed ...in Brown and Erdreich [2]. The test is an exact test and computation ally involved for large samples. Therefore we propose an alternative test which is competitive to their test and is easily used for large samples.show more

File	FileType	Size	Views	Description
p141	pdf	523 KB	328

PISSN	0286-522X
EISSN	2435-743X
NCID	AA10634475
Record ID	13439
Peer-Reviewed	Refereed
Subject Terms	categorical data
	BLV test
	asymptotic distribution
	PAVA
	hypergeometric distribution
	random walks
	Williams test
Type	学術雑誌論文
Created Date	2009.04.22
Modified Date	2020.10.22