Multivariate Methods Forecasting Ibm® by Aljandali Abdulkader (15 results)

Language: English
Published by Springer, 2018
Series: Statistics and Econometrics for Finance, Book 3 of 4. Book 3 of 4 - Statistics and Econometrics for Finance
- Softcover
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Language: English
Published by Springer, 2018
Series: Statistics and Econometrics for Finance, Book 3 of 4. Book 3 of 4 - Statistics and Econometrics for Finance
- Softcover
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Language: English
Published by Springer, 2017
Series: Statistics and Econometrics for Finance, Book 3 of 4. Book 3 of 4 - Statistics and Econometrics for Finance
- Hardcover
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Language: English
Published by Springer International Publishing, 2018
Series: Statistics and Econometrics for Finance, Book 3 of 4. Book 3 of 4 - Statistics and Econometrics for Finance
- Softcover
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Language: English
Published by Springer International Publishing, Springer International Publishing, 2018
Series: Statistics and Econometrics for Finance, Book 3 of 4. Book 3 of 4 - Statistics and Econometrics for Finance
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. 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 invo…lve 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).

Language: English
Published by Springer, 2018
Series: Statistics and Econometrics for Finance, Book 3 of 4. Book 3 of 4 - Statistics and Econometrics for Finance
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Multivariate Methods and Forecasting with IBM® SPSS® Statistics | Abdulkader Aljandali | Taschenbuch | xvii | Englisch | 2018 | Springer | EAN 9783319859224 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbie…ter: preigu.

Language: English
Published by Springer, 2017
Series: Statistics and Econometrics for Finance, Book 3 of 4. Book 3 of 4 - Statistics and Econometrics for Finance
- Hardcover
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Language: English
Published by Springer, Springer, 2017
Series: Statistics and Econometrics for Finance, Book 3 of 4. Book 3 of 4 - Statistics and Econometrics for Finance
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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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 mor…e 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).

Language: English
Published by Springer, 2017
Series: Statistics and Econometrics for Finance, Book 3 of 4. Book 3 of 4 - Statistics and Econometrics for Finance
- Hardcover
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Language: English
Published by Springer, 2018
Series: Statistics and Econometrics for Finance, Book 3 of 4. Book 3 of 4 - Statistics and Econometrics for Finance
- Softcover
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Language: English
Published by Springer, 2017
Series: Statistics and Econometrics for Finance, Book 3 of 4. Book 3 of 4 - Statistics and Econometrics for Finance
- Hardcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
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Language: English
Published by Springer International Publishing Aug 2018, 2018
Series: Statistics and Econometrics for Finance, Book 3 of 4. Book 3 of 4 - Statistics and Econometrics for Finance
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. 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, regres…sion 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.

Language: English
Published by Springer International Publishing Jul 2017, 2017
Series: Statistics and Econometrics for Finance, Book 3 of 4. Book 3 of 4 - Statistics and Econometrics for Finance
- Hardcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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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 mo…dels 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.

Language: English
Published by Springer, Springer Aug 2018, 2018
Series: Statistics and Econometrics for Finance, Book 3 of 4. Book 3 of 4 - Statistics and Econometrics for Finance
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. 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.

Language: English
Published by Springer, Springer Jul 2017, 2017
Series: Statistics and Econometrics for Finance, Book 3 of 4. Book 3 of 4 - Statistics and Econometrics for Finance
- Hardcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
Contact seller5-star sellerCondition: New
£ 70.60
£ 51.26 shippingShips from Germany to U.S.A.Quantity: 1 available
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.