COMPARING PREDICTIVE VALUES OF STATISTICAL TEST VS. AIC AND BIC IN ONE SAMPLE PROBLEM - Collections

＜journal article＞
COMPARING PREDICTIVE VALUES OF STATISTICAL TEST VS. AIC AND BIC IN ONE SAMPLE PROBLEM

Creator	Creator Name Tajiri, Ryo 田尻, 涼タジリ, リョウ Affiliation Affiliation Name Graduate School of Medicine, Kurume University 久留米大学大学院医学研究科
	Creator Name Iwamoto, Kasumi 岩本, 佳純イワモト, カスミ Affiliation Affiliation Name Graduate School of Medicine, Kurume University 久留米大学大学院医学研究科
	Creator Name Fujikawa, Kei 藤川, 圭フジカワ, ケイ Affiliation Affiliation Name Graduate School of Medicine, Kurume University 久留米大学大学院医学研究科
	Author PID 80029488 Creator Name Yanagawa, Takashi 柳川, 堯ヤナガワ, タカシ Affiliation Affiliation Name Biostatistics Center, Kurume University : Professor 久留米大学バイオ統計センター : 教授
Language	English
Publisher	Research Association of Statistical Sciences
Publisher	統計科学研究会
Date	2015-12
Source Title	Bulletin of informatics and cybernetics
Vol	47
First Page	59
Last Page	67
Publication Type	Version of Record
Access Rights	open access
Crossref DOI	https://doi.org/10.5109/1909524
Abstract	Often, AIC and BIC are applied to statistical decision problems where methods of testing statistical hypothesis have been unrivaled. We define decision rules based on statistical test, on AIC and on B...IC and compare their positive predictive values, and negative predictive values as well, in this paper in the framework of one-sample problem, assuming underlying normal distribution.show more

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PISSN	0286-522X
EISSN	2435-743X
NCID	AA10634475
Record ID	1909524
Peer-Reviewed	Refereed
Subject Terms	Akaike information criterion
	Bayesian information criterion
	positive predictive value
	negative predictive value
Created Date	2018.03.02
Modified Date	2020.10.22