Editore: Springer International Publishing, 2016
ISBN 10: 3319455273 ISBN 13: 9783319455273
Lingua: Inglese
Da: Buchpark, Trebbin, Germania
Condizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.
Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germania
EUR 15,00
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Aggiungi al carrelloXXI, 184 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Statistics and Econometrics for Finance. Sprache: Englisch.
Da: BMV Bloor, Toronto, ON, Canada
EUR 17,54
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EUR 38,69
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Editore: Transnational Press London, 2018
ISBN 10: 1910781797 ISBN 13: 9781910781791
Lingua: Inglese
Da: Best Price, Torrance, CA, U.S.A.
EUR 25,74
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Da: Basi6 International, Irving, TX, U.S.A.
EUR 52,19
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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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Editore: Amazon Digital Services LLC - Kdp, 2018
ISBN 10: 1910781797 ISBN 13: 9781910781791
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 49,59
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware.
Da: ALLBOOKS1, Direk, SA, Australia
EUR 66,36
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Aggiungi al carrelloBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Da: California Books, Miami, FL, U.S.A.
EUR 59,63
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 58,03
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 58,03
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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, 2018
ISBN 10: 331983312X ISBN 13: 9783319833125
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 guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods.IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S.Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need for users to be aware of the statistical assumptions and rationales underpinning correct and meaningful application of the techniques available in the package; therefore, such assumptions are discussed, and methods of assessing their validity are described. Also presented is the logic underlying the computation of the more commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum.
Editore: Springer International Publishing, 2016
ISBN 10: 3319455273 ISBN 13: 9783319455273
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 53,49
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods.IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S.Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need for users to be aware of the statistical assumptions and rationales underpinning correct and meaningful application of the techniques available in the package; therefore, such assumptions are discussed, and methods of assessing their validity are described. Also presented is the logic underlying the computation of the more commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum.
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
Convertire valutaQuantità: 2 disponibili
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.
Editore: Springer International Publishing, Springer International Publishing Jul 2018, 2018
ISBN 10: 331983312X ISBN 13: 9783319833125
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 53,49
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods.IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S.Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need for users to be aware of the statistical assumptions and rationales underpinning correct and meaningful application of the techniques available in the package; therefore, such assumptions are discussed, and methods of assessing their validity are described. Also presented is the logic underlying the computation of the more commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 208 pp. Englisch.
Editore: Springer International Publishing, Springer International Publishing Nov 2016, 2016
ISBN 10: 3319455273 ISBN 13: 9783319455273
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 53,49
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Neuware -This guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods.IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S.Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need for users to be aware of the statistical assumptions and rationales underpinning correct and meaningful application of the techniques available in the package; therefore, such assumptions are discussed, and methods of assessing their validity are described. Also presented is the logic underlying the computation of the more commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 208 pp. Englisch.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 60,03
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Da: Best Price, Torrance, CA, U.S.A.
EUR 48,22
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Da: Best Price, Torrance, CA, U.S.A.
EUR 48,22
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Da: Best Price, Torrance, CA, U.S.A.
EUR 48,22
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Da: Books Puddle, New York, NY, U.S.A.
EUR 71,50
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Da: Chiron Media, Wallingford, Regno Unito
EUR 56,37
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Da: Chiron Media, Wallingford, Regno Unito
EUR 56,40
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Aggiungi al carrelloPaperback. Condizione: New.
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: Books Puddle, New York, NY, U.S.A.
EUR 73,23
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 72,32
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Da: Revaluation Books, Exeter, Regno Unito
EUR 77,79
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Aggiungi al carrelloHardcover. Condizione: Brand New. 208 pages. 9.25x6.25x0.75 inches. In Stock.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 81,65
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