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9783319564807 - Multivariate Methods and Forecasting with Ibm® Spss® Statistics Statistics and Econometrics for Finance by Aljandali, Abdulkader (11 results)
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Multivariate Methods and Forecasting with IBM® SPSS® Statistics (Statistics and Econometrics for Finance)
Book 3 of 4: Statistics and Econometrics for FinanceSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 70.75
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New. 1st ed. 2017 edition NO-PA16APR2015-KAP.
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Multivariate Methods and Forecasting with IBM SPSS Statistics
Book 3 of 4: Statistics and Econometrics for FinanceLanguage: English
Published by Springer International Publishing, 2017
ISBN 10: 3319564803 ISBN 13: 9783319564807
Condition: New.
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Hardcover. Condition: Brand New. 178 pages. 9.50x6.25x0.75 inches. In Stock.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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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Condition: new. Questo è un articolo print on demand.
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Multivariate Methods and Forecasting with IBM® SPSS® Statistics
Book 3 of 4: Statistics and Econometrics for FinanceLanguage: English
Published by Springer International Publishing Jul 2017, 2017
ISBN 10: 3319564803 ISBN 13: 9783319564807
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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). 196 pp. Englisch.
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Multivariate Methods and Forecasting with IBM® SPSS® Statistics
Book 3 of 4: Statistics and Econometrics for FinanceLanguage: English
Published by Springer, Springer Jul 2017, 2017
ISBN 10: 3319564803 ISBN 13: 9783319564807
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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).Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 196 pp. Englisch.
