Multivariate Methods and Forecasting with IBM® SPSS® Statistics

• Main Author: Aljandali, Abdulkader (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Statistics and Econometrics for Finance,
• Subjects: Statistics.; Business enterprises > Finance.; Big data.; Economics, Mathematical.; Statistics for Business/Economics/Mathematical Finance/Insurance.; Statistical Theory and Methods.; Big Data/Analytics.; Business Finance.; Quantitative Finance.

This is the second of a two-part guide to quantitative analysis using the IBM SPSS Statistics software package; this volume focuses on multivariate statistical methods and advanced forecasting techniques. More often than not, regression models involve more than one independent variable. For example,...

Table of Contents:

• 1 Multivariate Regression
• 2 Other Useful Topics in Regression
• 3 The Box-Jenkins Methodology
• 4 Exponential Smoothing and Naïve Models
• 5 Factor Analysis
• 6 Discriminant Analysis
• 7 Multidimensional Scaling
• 8 Hierarchical Log-Linear Analysis
• 9 Testing for Independence
• 10 Testing for Differences Between Groups
• 11 Current and Constant Prices.