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portada Multivariate Methods and Forecasting with Ibm(r) Spss(r) Statistics
Type
Physical Book
Author
Publisher
Language
English
Pages
178
Format
Paperback
Dimensions
23.4x15.6x1.1 cm
Weight
0.29 kg.
ISBN13
9783319859224
Edition No.
1
Categories

Multivariate Methods and Forecasting with Ibm(r) Spss(r) Statistics

Abdulkader Aljandali (Author) · Springer · Paperback

Multivariate Methods and Forecasting with Ibm(r) Spss(r) Statistics - Aljandali, Abdulkader

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Synopsis "Multivariate Methods and Forecasting with Ibm(r) Spss(r) 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).

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