Da: Basi6 International, Irving, TX, U.S.A.
EUR 51,83
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Aggiungi al carrelloCondizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Editore: Springer International Publishing, 2018
ISBN 10: 3319859226 ISBN 13: 9783319859224
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 47,23
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 58,45
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Da: ALLBOOKS1, Direk, SA, Australia
EUR 70,04
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Editore: Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319859226 ISBN 13: 9783319859224
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: 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).
Editore: Springer International Publishing, Springer International Publishing Aug 2018, 2018
ISBN 10: 3319859226 ISBN 13: 9783319859224
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 196 pp. Englisch.
Da: Best Price, Torrance, CA, U.S.A.
EUR 48,26
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Da: Chiron Media, Wallingford, Regno Unito
EUR 56,78
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Editore: Springer International Publishing, 2017
ISBN 10: 3319564803 ISBN 13: 9783319564807
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 68,62
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 82,25
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Editore: Springer International Publishing, 2017
ISBN 10: 3319564803 ISBN 13: 9783319564807
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 80,24
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Aggiungi al carrelloBuch. Condizione: 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).
Editore: Springer International Publishing, Springer International Publishing Jul 2017, 2017
ISBN 10: 3319564803 ISBN 13: 9783319564807
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 80,24
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Aggiungi al carrelloBuch. Condizione: Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 196 pp. Englisch.
Da: Best Price, Torrance, CA, U.S.A.
EUR 74,33
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Da: Books Puddle, New York, NY, U.S.A.
EUR 105,06
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Da: Books Puddle, New York, NY, U.S.A.
EUR 106,06
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 51,92
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 98,76
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Da: Revaluation Books, Exeter, Regno Unito
EUR 117,98
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Aggiungi al carrelloHardcover. Condizione: Brand New. 178 pages. 9.50x6.25x0.75 inches. In Stock.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 79,49
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 130,89
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Aggiungi al carrelloHardcover. Condizione: New. New. book.
Editore: Springer International Publishing Aug 2018, 2018
ISBN 10: 3319859226 ISBN 13: 9783319859224
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
Editore: Springer International Publishing Jul 2017, 2017
ISBN 10: 3319564803 ISBN 13: 9783319564807
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 80,24
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Aggiungi al carrelloBuch. Condizione: 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.
Da: Majestic Books, Hounslow, Regno Unito
EUR 108,81
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Da: Majestic Books, Hounslow, Regno Unito
EUR 109,63
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 112,45
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 113,27
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