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Multivariate Methods and Forecasting with IBM® SPSS® Statistics - Abdulkader Aljandali

Multivariate Methods and Forecasting with IBM® SPSS® Statistics

Buch | Softcover
XVII, 178 Seiten
2018 | 1. Softcover reprint of the original 1st ed. 2017
Springer International Publishing (Verlag)
978-3-319-85922-4 (ISBN)
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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).

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).

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.

Erscheinungsdatum
Reihe/Serie Statistics and Econometrics for Finance
Zusatzinfo XVII, 178 p. 133 illus., 80 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 308 g
Themenwelt Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Wirtschaft Allgemeines / Lexika
Wirtschaft Betriebswirtschaft / Management Finanzierung
Schlagworte Big Data • Correlation • Data Analysis • Diagnostic • Forecast • Kruskal-Wallis test • Logistic Regression • Mann-Whitney test • Multivariate regression • Quantitative Finance • SPSS • univariate frequencies
ISBN-10 3-319-85922-6 / 3319859226
ISBN-13 978-3-319-85922-4 / 9783319859224
Zustand Neuware
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