國立虎尾科技大學 |

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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Applied statistics and multivariate data analysis for business and economics/ by Thomas Cleff.
Reminder of title:	a modern approach using SPSS, Stata, and Excel /
Author:	Cleff, Thomas.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xxiii, 474 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Multivariate analysis. -
Online resource:	https://doi.org/10.1007/978-3-030-17767-6
ISBN:	9783030177676

Applied statistics and multivariate data analysis for business and economics = a 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

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

577402
Multivariate analysis.

LC Class. No.: QA278 / .C544 2019

Dewey Class. No.: 519.535

Applied statistics and multivariate data analysis for business and economics = a modern approach using SPSS, Stata, and Excel /
LDR:02262nam a2200325 a 4500 001 941817
003 DE-He213
005 20191203111834.0
006 m d
007 cr nn 008maaau
008 200417s2019 gw s 0 eng d
020 $a 9783030177676 $q (electronic bk.)
020 $a 9783030177669 $q (paper)
024 7 $a 10.1007/978-3-030-17767-6 $2 doi
035 $a 978-3-030-17767-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA278 $b .C544 2019
072 7 $a KCH $2 bicssc
072 7 $a BUS021000 $2 bisacsh
072 7 $a KCH $2 thema
082 0 4 $a 519.535 $2 23
090 $a QA278 $b .C624 2019
100 1 $a Cleff, Thomas. $3 1022522
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 : $c 2019. $b Springer International Publishing : $b Imprint: Springer,
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.
650 0 $a Multivariate analysis. $3 577402
650 1 4 $a Econometrics. $3 556981
650 2 4 $a Big Data/Analytics. $3 1106909
650 2 4 $a Statistics for Business, Management, Economics, Finance, Insurance. $3 1211158
650 2 4 $a Statistics for Social Sciences, Humanities, Law. $3 1211304
650 2 4 $a Statistics and Computing/Statistics Programs. $3 669775
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-3-030-17767-6
950 $a Economics and Finance (Springer-41170)