Overview
- Utilizes the popular and accessible IBM SPSS Statistics software package to teach data analysis for business and finance in a step-by-step approach
- A comprehensive, in-depth guide—especially relative to the competition
- Explains the statistical assumptions and rationales underpinning application of the IBM SPSS for Statistics package, instead of simply presenting techniques
- More than 100 color graphs, screen shots, and figures
- Includes directed download of the software, IBM SPSS Statistics 24 [current version]
- Includes supplementary material: sn.pub/extras
Part of the book series: Statistics and Econometrics for Finance (SEFF)
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Table of contents (11 chapters)
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Forecasting Models
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Multivariate Methods
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Research Methods
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Multivariate Methods and Forecasting with IBM® SPSS® Statistics
Authors: Abdulkader Aljandali
Series Title: Statistics and Econometrics for Finance
DOI: https://doi.org/10.1007/978-3-319-56481-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-56480-7Published: 14 July 2017
Softcover ISBN: 978-3-319-85922-4Published: 10 August 2018
eBook ISBN: 978-3-319-56481-4Published: 06 July 2017
Series ISSN: 2199-093X
Series E-ISSN: 2199-0948
Edition Number: 1
Number of Pages: XVII, 178
Number of Illustrations: 53 b/w illustrations, 80 illustrations in colour
Topics: Statistics for Business, Management, Economics, Finance, Insurance, Statistical Theory and Methods, Big Data/Analytics, Business Finance, Quantitative Finance