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Applied statistics and multivariate ...

Cleff, Thomas.

Applied statistics and multivariate data analysis for business and economicsa modern approach using SPSS, Stata, and Excel /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Applied statistics and multivariate data analysis for business and economicsby Thomas Cleff.
其他題名:	a modern approach using SPSS, Stata, and Excel /
作者:	Cleff, Thomas.
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	xxiii, 474 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Multivariate analysis.
電子資源:	https://doi.org/10.1007/978-3-030-17767-6
ISBN:	9783030177676$q(electronic bk.)

Applied statistics and multivariate data analysis for business and economicsa modern approach using SPSS, Stata, and Excel /
Cleff, Thomas.

Applied statistics and multivariate data analysis for business and economicsa modern approach using SPSS, Stata, and Excel /[electronic resource] :by Thomas Cleff. - Cham :Springer International Publishing :2019. - xxiii, 474 p. :ill., digital ;24 cm.

Statistics 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.

This 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.

ISBN: 9783030177676$q(electronic bk.)

Standard No.: 10.1007/978-3-030-17767-6doiSubjects--Topical Terms:

181905
Multivariate analysis.

LC Class. No.: QA278 / .C544 2019

Dewey Class. No.: 519.535

Applied statistics and multivariate data analysis for business and economicsa modern approach using SPSS, Stata, and Excel /
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245 1 0 $a Applied statistics and multivariate data analysis for business and economics $h [electronic resource] : $b a modern approach using SPSS, Stata, and Excel / $c by Thomas Cleff.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xxiii, 474 p. : $b ill., digital ; $c 24 cm.
505 0 $a Statistics 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.
520 $a This 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.
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