Multivariate Methods and Forecasting with IBM SPSS Statistics is popular PDF and ePub book, written by Abdulkader Aljandali in 2017-07-06, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Multivariate Methods and Forecasting with IBM SPSS Statistics can be Read Online from any device for your convenience.
Multivariate Methods and Forecasting with IBM SPSS Statistics Book PDF Summary
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 such as Factor Analysis, Discriminant Analysis and Multidimensional Scaling (MDS).
Detail Book of Multivariate Methods and Forecasting with IBM SPSS Statistics PDF
- Author : Abdulkader Aljandali
- Release : 06 July 2017
- Publisher : Springer
- ISBN : 9783319564814
- Genre : Business & Economics
- Total Page : 185 pages
- Language : English
- PDF File Size : 18,9 Mb
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