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024 7 $a10.1007/978-3-030-17767-6
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100   $a20190710d2019      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aApplied Statistics and Multivariate Data Analysis for Business and Economics $eA Modern Approach Using SPSS, Stata, and Excel /$fby Thomas Cleff
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $a1 online resource (XXIII, 474 p. 269 illus., 110 illus. in color.)
311   $a3-030-17766-1 
327   $aStatistics and Empirical Research -- From Disarray to Dataset -- Univariate Data Analysis -- Bivariate Association -- Classical Measurement Theory.-Calculating Probability -- Random Variables and Probability Distributions -- Parameter Estimation -- Hypothesis Testing -- Regression Analysis -- Time Series and Indices -- Cluster Analysis -- Factor Analysis.
330   $aThis textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata.
606   $aEconometrics
606   $aBig data
606   $aStatistics 
606   $aEconometrics$3https://scigraph.springernature.com/ontologies/product-market-codes/W29010
606   $aBig Data/Analytics$3https://scigraph.springernature.com/ontologies/product-market-codes/522070
606   $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010
606   $aStatistics for Social Sciences, Humanities, Law$3https://scigraph.springernature.com/ontologies/product-market-codes/S17040
606   $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008
606   $aEconometria$2thub
606   $aAnàlisi multivariable$2thub
606   $aEstadística econòmica$2thub
608   $aLlibres electrònics$2thub
615  0$aEconometrics.
615  0$aBig data.
615  0$aStatistics .
615 14$aEconometrics.
615 24$aBig Data/Analytics.
615 24$aStatistics for Business, Management, Economics, Finance, Insurance.
615 24$aStatistics for Social Sciences, Humanities, Law.
615 24$aStatistics and Computing/Statistics Programs.
615  7$aEconometria
615  7$aAnàlisi multivariable
615  7$aEstadística econòmica
676   $a519.535
676   $a519.535
700   $aCleff$b Thomas$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721665
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910349537003321
996   $aApplied Statistics and Multivariate Data Analysis for Business and Economics$92100377
997   $aUNINA