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Predictions Time Series Using Regression by Stulajter Frantisek (31 results)
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Condition: New. pp. 248.
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Condition: New. pp. 248 Illus.
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Condition: New. pp. 248.
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Predictions in Time Series Using Regression Models
Seller: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Germany
Seller rating 5 out of 5 stars
gebundene Ausgabe. Condition: Gut. 231 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 480.
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hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Condition: New.
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Condition: New.
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Condition: New.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: As New. Unread book in perfect condition.
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Predictions in Time Series Using Regression Models
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Predictions in Time Series Using Regression Models
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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PF. Condition: New.
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Predictions in Time Series Using Regression Models
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New. pp. 244.
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Predictions in Time Series Using Regression Models
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Paperback. Condition: Brand New. 240 pages. 9.25x6.10x0.55 inches. In Stock.
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Gebunden. Condition: New.  -Appeals to finance analysts and econometricians This book will interest and assist people who are dealing with the problems of predictions of time series in higher education and research. It will greatly assist people wh.
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Predictions in Time Series Using Regression Models
Published by Springer New York, Springer New York Mai 2011, 2011
ISBN 10: 1441929657 ISBN 13: 9781441929655
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -Books on time series models deal mainly with models based on Box-Jenkins methodology which is generally represented by autoregressive integrated moving average models or some nonlinear extensions of these models, such as generalized autoregressive conditional heteroscedasticity models. Statistical inference for these models is well developed and commonly used in practical applications, due also to statistical packages containing time series analysis parts. The present book is based on regression models used for time series. These models are used not only for modeling mean values of observed time se ries, but also for modeling their covariance functions which are often given parametrically. Thus for a given finite length observation of a time series we can write the regression model in which the mean value vectors depend on regression parameters and the covariance matrices of the observation depend on variance-covariance parameters. Both these dependences can be linear or nonlinear. The aim of this book is to give an unified approach to the solution of statistical problems for such time series models, and mainly to problems of the estimation of unknown parameters of models and to problems of the prediction of time series modeled by regression models.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 244 pp. Englisch.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Books on time series models deal mainly with models based on Box-Jenkins methodology which is generally represented by autoregressive integrated moving average models or some nonlinear extensions of these models, such as generalized autoregressive conditional heteroscedasticity models. Statistical inference for these models is well developed and commonly used in practical applications, due also to statistical packages containing time series analysis parts. The present book is based on regression models used for time series. These models are used not only for modeling mean values of observed time se ries, but also for modeling their covariance functions which are often given parametrically. Thus for a given finite length observation of a time series we can write the regression model in which the mean value vectors depend on regression parameters and the covariance matrices of the observation depend on variance-covariance parameters. Both these dependences can be linear or nonlinear. The aim of this book is to give an unified approach to the solution of statistical problems for such time series models, and mainly to problems of the estimation of unknown parameters of models and to problems of the prediction of time series modeled by regression models.
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Taschenbuch. Condition: Neu. Predictions in Time Series Using Regression Models | Frantisek Stulajter | Taschenbuch | ix | Englisch | 2011 | Springer New York | EAN 9781441929655 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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Predictions in Time Series Using Regression Models.
Published by Springer New York, 2002
Language: English
Hardcover/ Pappband. Condition: Wie neu. 231 S. Economic Statistics Wirtschaftsstatistik Statistik Ökonometrie Econometrics Economy Wirtschaftswissenschaft Business Studies Mathematik Mathematics Sehr guter Zustand/ very good Ex-Library. ha1079774 Sprache: Englisch Gewicht in Gramm: 510.
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Predictions in Time Series Using Regression Models
Published by Springer New York Apr 2002, 2002
ISBN 10: 0387953507 ISBN 13: 9780387953502
Language: English
Buch. Condition: Neu. Neuware - Books on time series models deal mainly with models based on Box-Jenkins methodology which is generally represented by autoregressive integrated moving average models or some nonlinear extensions of these models, such as generalized autoregressive conditional heteroscedasticity models. Statistical inference for these models is well developed and commonly used in practical applications, due also to statistical packages containing time series analysis parts. The present book is based on regression models used for time series. These models are used not only for modeling mean values of observed time se ries, but also for modeling their covariance functions which are often given parametrically. Thus for a given finite length observation of a time series we can write the regression model in which the mean value vectors depend on regression parameters and the covariance matrices of the observation depend on variance-covariance parameters. Both these dependences can be linear or nonlinear. The aim of this book is to give an unified approach to the solution of statistical problems for such time series models, and mainly to problems of the estimation of unknown parameters of models and to problems of the prediction of time series modeled by regression models.
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Predictions in Time Series Using Regression Models
Published by Springer New York Mai 2011, 2011
ISBN 10: 1441929657 ISBN 13: 9781441929655
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book will interest and assist people who are dealing with the problems of predictions of time series in higher education and research. It will greatly assist people who apply time series theory to practical problems in their work and also serve as a textbook for postgraduate students in statistics economics and related subjects. 244 pp. Englisch.
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Condition: New. Print on Demand pp. 244 23:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on White w/Gloss Lam.
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Condition: New. PRINT ON DEMAND pp. 244.
