001438429 000__ 04289cam\a2200541\a\4500
001438429 001__ 1438429
001438429 003__ OCoLC
001438429 005__ 20230309004304.0
001438429 006__ m\\\\\o\\d\\\\\\\\
001438429 007__ cr\un\nnnunnun
001438429 008__ 210725s2021\\\\si\\\\\\o\\\\\000\0\eng\d
001438429 019__ $$a1262374098
001438429 020__ $$a9789811624704$$q(electronic bk.)
001438429 020__ $$a9811624704$$q(electronic bk.)
001438429 020__ $$z9811624690
001438429 020__ $$z9789811624698
001438429 0247_ $$a10.1007/978-981-16-2470-4$$2doi
001438429 035__ $$aSP(OCoLC)1261379837
001438429 040__ $$aYDX$$beng$$epn$$cYDX$$dGW5XE$$dOCLCO$$dEBLCP$$dOCLCF$$dUKAHL$$dOCLCO$$dOCLCQ$$dSFB$$dOCLCQ
001438429 049__ $$aISEA
001438429 050_4 $$aQA9.35
001438429 08204 $$a511.3$$223
001438429 1001_ $$aNishisato, Shizuhiko,$$d1935-$$eauthor.
001438429 24510 $$aModern quantification theory :$$bjoint graphical display, biplots, and alternatives /$$cShizuhiko Nishisato, Eric J. Beh, Rosaria Lombardo, Jose G. Clavel.
001438429 260__ $$aSingapore :$$bSpringer,$$c2021.
001438429 300__ $$a1 online resource
001438429 336__ $$atext$$btxt$$2rdacontent
001438429 337__ $$acomputer$$bc$$2rdamedia
001438429 338__ $$aonline resource$$bcr$$2rdacarrier
001438429 4901_ $$aBehaviormetrics,$$x2524-4027 ;$$vv. 8
001438429 5050_ $$aPersonal Reflections -- Mathematical Preliminaries -- Mathematical Preliminaries -- Data Formats and Geometry -- Coordinates for Joint Graphs -- Clustering as an Alternative -- Scoring and Profiles -- Some Generalizations of Reciprocal Averaging -- History of the Biplot -- Biplots for Variants of Correspondence Analysis.
001438429 506__ $$aAccess limited to authorized users.
001438429 520__ $$aThis book offers a new look at well-established quantification theory for categorical data, referred to by such names as correspondence analysis, dual scaling, optimal scaling, and homogeneity analysis. These multiple identities are a consequence of its large number of properties that allow one to analyze and visualize the strength of variable association in an optimal solution. The book contains modern quantification theory for analyzing the association between two and more categorical variables in a variety of applicative frameworks. Visualization has attracted much attention over the past decades and given rise to controversial opinions. One may consider variations of plotting systems used in the construction of the classic correspondence plot, the biplot, the Carroll-Green-Schaffer scaling, or a new approach in doubled multidimensional space as presented in the book. There are even arguments for no visualization at all. The purpose of this book therefore is to shed new light on time-honored graphical procedures with critical reviews, new ideas, and future directions as alternatives. This stimulating volume is written with fresh new ideas from the traditional framework and the contemporary points of view. It thus offers readers a deep understanding of the ever-evolving nature of quantification theory and its practice. Part I starts with illustrating contingency table analysis with traditional joint graphical displays (symmetric, non-symmetric) and the CGS scaling and then explores logically correct graphs in doubled Euclidean space for both row and column variables. Part II covers a variety of mathematical approaches to the biplot strategy in graphing a data structure, providing a useful source for this modern approach to graphical display. Part II is also concerned with a number of alternative approaches to the joint graphical display such as bimodal cluster analysis and other statistical problems relevant to quantification theory.
001438429 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 3, 2021).
001438429 650_0 $$aPredicate calculus.
001438429 650_6 $$aCalcul des prédicats.
001438429 655_0 $$aElectronic books.
001438429 7001_ $$aBeh, Eric J.,$$eauthor.
001438429 7001_ $$aLombardo, Rosaria,$$eauthor.
001438429 7001_ $$aClavel, Jose G.,$$eauthor.
001438429 77608 $$iPrint version:$$aNishisato, Shizuhiko, 1935-$$tModern quantification theory.$$dSingapore : Springer, 2021$$z9811624690$$z9789811624698$$w(OCoLC)1245658382
001438429 830_0 $$aBehaviormetrics ;$$vv. 8
001438429 852__ $$bebk
001438429 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-2470-4$$zOnline Access$$91397441.1
001438429 909CO $$ooai:library.usi.edu:1438429$$pGLOBAL_SET
001438429 980__ $$aBIB
001438429 980__ $$aEBOOK
001438429 982__ $$aEbook
001438429 983__ $$aOnline
001438429 994__ $$a92$$bISE