Multivariate Methods and Forecasting with IBM® SPSS® Statistics

The book "Multivariate Methods and Forecasting with IBM® SPSS® Statistics" offers a comprehensive introduction to multivariate statistical methods and advanced forecasting techniques using IBM SPSS Statistics software. It is aimed at professionals and students who wish to develop a deeper understanding of quantitative analyses. The author, Abdulkader Aljandali, covers the fundamentals of multivariate regression and explains its application in various business fields. Readers are guided through practical examples and theoretical explanations to understand complex relationships between variables. Additionally, important forecasting tools such as the Box-Jenkins method for time series analysis, as well as exponential smoothing and naive techniques, are introduced. The book also addresses current topics such as factor analysis, discriminant analysis, and multidimensional scaling (MDS), which are relevant for data analysis in today's business world.