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010   $a981-15-2552-8
024 7 $a10.1007/978-981-15-2552-0
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035   $a(DE-He213)978-981-15-2552-0
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035   $a(PPN)242843247
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100   $a20200121d2020      u|             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aStatistical Data Analysis and Entropy$b[electronic resource] /$fby Nobuoki Eshima
205   $a1st ed. 2020.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020.
215   $a1 online resource (XI, 257 p. 43 illus.) 
225 1 $aBehaviormetrics: Quantitative Approaches to Human Behavior,$x2524-4027 ;$v3
311   $a981-15-2551-X 
327   $aEntropy and basic statistics -- Analysis of the association in two-way contingency tables -- Analysis of the association in multiway contingency tables -- Analysis of continuous variables.
330   $aThis book reconsiders statistical methods from the point of view of entropy, and introduces entropy-based approaches for data analysis. Further, it interprets basic statistical methods, such as the chi-square statistic, t-statistic, F-statistic and the maximum likelihood estimation in the context of entropy. In terms of categorical data analysis, the book discusses the entropy correlation coefficient (ECC) and the entropy coefficient of determination (ECD) for measuring association and/or predictive powers in association models, and generalized linear models (GLMs). Through association and GLM frameworks, it also describes ECC and ECD in correlation and regression analyses for continuous random variables. In multivariate statistical analysis, canonical correlation analysis, T2-statistic, and discriminant analysis are discussed in terms of entropy. Moreover, the book explores the efficiency of test procedures in statistical tests of hypotheses using entropy. Lastly, it presents an entropy-based path analysis for structural GLMs, which is applied in factor analysis and latent structure models. Entropy is an important concept for dealing with the uncertainty of systems of random variables and can be applied in statistical methodologies. This book motivates readers, especially young researchers, to address the challenge of new approaches to statistical data analysis and behavior-metric studies.
410  0$aBehaviormetrics: Quantitative Approaches to Human Behavior,$x2524-4027 ;$v3
606   $aStatistics 
606   $aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17020
606   $aStatistical Theory and Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/S11001
606   $aStatistics for Social Sciences, Humanities, Law$3https://scigraph.springernature.com/ontologies/product-market-codes/S17040
606   $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010
615  0$aStatistics .
615 14$aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
615 24$aStatistical Theory and Methods.
615 24$aStatistics for Social Sciences, Humanities, Law.
615 24$aStatistics for Business, Management, Economics, Finance, Insurance.
676   $a519.5
700   $aEshima$b Nobuoki$4aut$4http://id.loc.gov/vocabulary/relators/aut$01017964
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a996418255603316
996   $aStatistical Data Analysis and Entropy$92391165
997   $aUNISA