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Statistical Data Analysis and Entropy [[electronic resource] /] / by Nobuoki Eshima



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Autore: Eshima Nobuoki Visualizza persona
Titolo: Statistical Data Analysis and Entropy [[electronic resource] /] / by Nobuoki Eshima Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (XI, 257 p. 43 illus.)
Disciplina: 519.5
Soggetto topico: Statistics 
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Statistical Theory and Methods
Statistics for Social Sciences, Humanities, Law
Statistics for Business, Management, Economics, Finance, Insurance
Nota di contenuto: Entropy and basic statistics -- Analysis of the association in two-way contingency tables -- Analysis of the association in multiway contingency tables -- Analysis of continuous variables.
Sommario/riassunto: 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, T2-statistic, and discriminant analysis are discussed in terms of entropy. Moreover, the book explores the efficiency of test procedures in statistical tests of hypotheses using 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 variables and can be applied in statistical methodologies. This book motivates readers, especially young researchers, to address the challenge of new approaches to statistical data analysis and behavior-metric studies.
Titolo autorizzato: Statistical Data Analysis and Entropy  Visualizza cluster
ISBN: 981-15-2552-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996418255603316
Lo trovi qui: Univ. di Salerno
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Serie: Behaviormetrics: Quantitative Approaches to Human Behavior, . 2524-4027 ; ; 3