Tests of hypothesis: Means | Publication

Title	Tests of hypothesis: Means
Creator	Nguyen, H.T. 吳柏林 Wu, Berlin
Contributor	應數系
Date	2006
Date Issued	21-Jul-2015 15:29:31 (UTC+8)
Summary	In many expositions of fuzzy methods, fuzzy techniques are described as an alternative to a more traditional statistical approach. In this chapter, we present a class of fuzzy statistical decision processes in which hypothesis testing can be naturally reformulated in terms of interval-valued statistics. We provide the definitions of fuzzy mean, fuzzy distance as well as investigating their related properties. We also give some empirical examples to illustrate the techniques and to analyze fuzzy data. Empirical studies show that fuzzy hypothesis testing with soft computing for interval data are more realistic and reasonable in the social science research. © Springer-Verlag Berlin Heidelberg 2006.
Relation	Studies in Fuzziness and Soft Computing, 198, 129-144
Type	article
DOI	http://dx.doi.org/10.1007/11353492_8

dc.contributor	應數系	-
dc.creator (作者)	Nguyen, H.T.	-
dc.creator (作者)	吳柏林	zh_TW
dc.creator (作者)	Wu, Berlin	en_US
dc.date (日期)	2006	-
dc.date.accessioned	21-Jul-2015 15:29:31 (UTC+8)	-
dc.date.available	21-Jul-2015 15:29:31 (UTC+8)	-
dc.date.issued (上傳時間)	21-Jul-2015 15:29:31 (UTC+8)	-
dc.identifier.uri (URI)	http://nccur.lib.nccu.edu.tw/handle/140.119/76762	-
dc.description.abstract (摘要)	In many expositions of fuzzy methods, fuzzy techniques are described as an alternative to a more traditional statistical approach. In this chapter, we present a class of fuzzy statistical decision processes in which hypothesis testing can be naturally reformulated in terms of interval-valued statistics. We provide the definitions of fuzzy mean, fuzzy distance as well as investigating their related properties. We also give some empirical examples to illustrate the techniques and to analyze fuzzy data. Empirical studies show that fuzzy hypothesis testing with soft computing for interval data are more realistic and reasonable in the social science research. © Springer-Verlag Berlin Heidelberg 2006.	-
dc.format.extent	176 bytes	-
dc.format.mimetype	text/html	-
dc.relation (關聯)	Studies in Fuzziness and Soft Computing, 198, 129-144	-
dc.title (題名)	Tests of hypothesis: Means	-
dc.type (資料類型)	article	en
dc.identifier.doi (DOI)	10.1007/11353492_8	-
dc.doi.uri (DOI)	http://dx.doi.org/10.1007/11353492_8	-