Multivariate Methods and Forecasting with IBM® SPSS® Statistics
Produktnummer:
184ba4d3f3dfbb4d3da6bce484b49e0f68
| Autor: | Aljandali, Abdulkader |
|---|---|
| Themengebiete: | Kruskal-Wallis test Mann-Whitney test SPSS correlation data analysis diagnostic forecast logistic regression multivariate regression univariate frequencies |
| Veröffentlichungsdatum: | 14.07.2017 |
| EAN: | 9783319564807 |
| Sprache: | Englisch |
| Seitenzahl: | 178 |
| Produktart: | Gebunden |
| Verlag: | Springer International Publishing |
Produktinformationen "Multivariate Methods and Forecasting with IBM® SPSS® Statistics"
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).
Sie möchten lieber vor Ort einkaufen?
Sie haben Fragen zu diesem oder anderen Produkten oder möchten einfach gerne analog im Laden stöbern? Wir sind gerne für Sie da und beraten Sie auch telefonisch.
Juristische Fachbuchhandlung
Georg Blendl
Parcellistraße 5 (Maxburg)
8033 München
Montag - Freitag: 8:15 -18 Uhr
Samstags geschlossen