| 书目名称 | Statistical Data Analysis and Entropy | | 编辑 | Nobuoki Eshima | | 视频video | | | 概述 | Helps readers understand entropy and its properties for data analysis.Reconsiders statistical methods from the point of view of entropy and provides new insights for data analysis.Explains the applica | | 丛书名称 | Behaviormetrics: Quantitative Approaches to Human Behavior | | 图书封面 |  | | 描述 | .This book reconsiders statistical methods from the point of view of entropy, and introduces entropy-based approaches for data analysis. Further, it interprets basic statistical methods, such as the chi-square statistic, t-statistic, F-statistic and the maximum likelihood estimation in the context of entropy. In terms of categorical data analysis, the book discusses the entropy correlation coefficient (ECC) and the entropy coefficient of determination (ECD) for measuring association and/or predictive powers in association models, and generalized linear models (GLMs). Through association and GLM frameworks, it also describes ECC and ECD in correlation and regression analyses for continuous random variables. In multivariate statistical analysis, canonical correlation analysis, .T.2.-statistic, and discriminant analysis are discussed in terms of entropy. Moreover, the book explores the efficiency of test procedures in statistical tests of hypothesesusing entropy. Lastly, it presents an entropy-based path analysis for structural GLMs, which is applied in factor analysis and latent structure models. Entropy is an important concept for dealing with the uncertainty of systems of random va | | 出版日期 | Book 2020 | | 关键词 | Entropy-based Approaches for Data Analysis; Entropy Association Measures; Measuring the Associations i | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-15-2552-0 | | isbn_softcover | 978-981-15-2554-4 | | isbn_ebook | 978-981-15-2552-0Series ISSN 2524-4027 Series E-ISSN 2524-4035 | | issn_series | 2524-4027 | | copyright | Springer Nature Singapore Pte Ltd. 2020 |
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发表于 2025-3-21 16:14:38
