Multivariate Methods and Forecasting with IBM® SPSS® Statistics
Published on 6. July 2017
XVII, 178 pages
978-3-319-56481-4 (ISBN)
Description
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, forecasting methods are commonly applied to aggregates such as inflation rates, unemployment, exchange rates, etc., that have complex relationships with determining variables. This book introduces multivariate regression models and provides examples to help understand theory underpinning the model. The book presents the fundamentals of multivariate regression and then moves on to examine several related techniques that have application in business-orientated fields such as logistic and multinomial regression. Forecasting tools such as the Box-Jenkins approach to time series modeling are introduced, as well as exponential smoothing and naïve techniques. This part also covers hot topics suchas Factor Analysis, Discriminant Analysis and Multidimensional Scaling (MDS).
More details
Series
Edition
1st ed. 2017
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XVII, 178 p. 133 illus., 80 illus. in color.
File size
9,29 MB
ISBN-13
978-3-319-56481-4 (9783319564814)
DOI
10.1007/978-3-319-56481-4
Schweitzer Classification
Other editions
Additional editions
Abdulkader Aljandali
Multivariate Methods and Forecasting with IBM® SPSS® Statistics
Book
07/2017
Springer
€80.24
Shipment within 10-15 days
Person
Abdulkader Aljandali, Ph.D.,
is Senior Lecturer at Regent's University London. He currently leads the Business Forecasting and the Quantitative Finance module at Regent's in addition to acting as a Visiting Professor for various universities across the UK, Germany and Morocco. Dr Aljandali is an established member of the Higher Education Academy (HEA) and an active member of the British Accounting and Finance Association (BAFA).
Content
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.
