| 书目名称 | Modern Quantification Theory |
| 副标题 | Joint Graphical Disp |
| 编辑 | Shizuhiko Nishisato,Eric J. Beh,Jose G. Clavel |
| 视频video | |
| 概述 | Summarizes current progress in quantification theory, highlighting pros and cons of joint graphical display and biplots.Provides new perspectives of current practice with helpful foundations for futur |
| 丛书名称 | Behaviormetrics: Quantitative Approaches to Human Behavior |
| 图书封面 |  |
| 描述 | .This 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 th |
| 出版日期 | Book 2021 |
| 关键词 | Dual Scaling; Optimal Scaling; Symmetric Scaling; Non-symmetric Scaling; Correspondence Analysis; Quantif |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-16-2470-4 |
| isbn_softcover | 978-981-16-2472-8 |
| isbn_ebook | 978-981-16-2470-4Series ISSN 2524-4027 Series E-ISSN 2524-4035 |
| issn_series | 2524-4027 |
| copyright | Springer Nature Singapore Pte Ltd. 2021 |
发表于 2025-3-21 16:39:30
