EUR 7,00
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Ottime. italiano Condizioni dell'esterno: Ottime Condizioni dell'interno: Ottime.
Editore: Rizzoli, 2008
Da: Libreria Tara, Roma, RM, Italia
Prima edizione
EUR 5,50
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: buono. Psicologia Essay writing Psychology cartone edit. con titoli al dorso e sovrac. ill. - prima edizione OTTIME CONDIZIONI.
Lingua: Italiano
Editore: Rizzoli, Milano, 2008
Da: Librerie Dedalus e Minotauro, Trieste, TS, Italia
Prima edizione
EUR 6,00
Quantità: 1 disponibili
Aggiungi al carrelloRilegato. Condizione: ottimo. Condizione sovraccoperta: ottimo. prima edizione.
Da: Librisline, Valentano, VT, Italia
EUR 7,90
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Used: Like New. Libro nuovo, la copertina riporta lievi segni di giacenza. Consegna 24/48 ore 51a6.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 163,11
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 163,11
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Librerie Dedalus e Minotauro, Trieste, TS, Italia
EUR 15,00
Quantità: 1 disponibili
Aggiungi al carrelloRilegato. Condizione: nuovo.
Lingua: Inglese
Editore: Springer International Publishing, 2018
ISBN 10: 3319811274 ISBN 13: 9783319811277
Da: moluna, Greven, Germania
EUR 144,94
Quantità: Più di 20 disponibili
Aggiungi al carrelloKartoniert / Broschiert. Condizione: New.
Lingua: Inglese
Editore: Springer International Publishing, 2016
ISBN 10: 3319318209 ISBN 13: 9783319318202
Da: moluna, Greven, Germania
EUR 144,94
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319811274 ISBN 13: 9783319811277
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 171,19
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores widely used seasonal adjustment methods and recent developments in real time trend-cycle estimation. It discusses in detail the properties and limitations of X12ARIMA, TRAMO-SEATS and STAMP - the main seasonal adjustment methods used by statistical agencies. Several real-world cases illustrate each method and real data examples can be followed throughout the text. The trend-cycle estimation is presented using nonparametric techniques based on moving averages, linear filters and reproducing kernel Hilbert spaces, taking recent advances into account. The book provides a systematical treatment of results that to date have been scattered throughout the literature. Seasonal adjustment and real time trend-cycle prediction play an essential part at all levels of activity in modern economies. They are used by governments to counteract cyclical recessions, by central banks to control inflation, by decision makers for better modeling and planning and by hospitals, manufacturers, builders, transportation, and consumers in general to decide on appropriate action. This book appeals to practitioners in government institutions, finance and business, macroeconomists, and other professionals who use economic data as well as academic researchers in time series analysis, seasonal adjustment methods, filtering and signal extraction. It is also useful for graduate and final-year undergraduate courses in econometrics and time series with a good understanding of linear regression and matrix algebra, as well as ARIMA modelling.
Da: Revaluation Books, Exeter, Regno Unito
EUR 248,91
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 300 pages. 9.50x6.25x1.00 inches. In Stock.
Condizione: New. pp. 299.
Lingua: Inglese
Editore: Springer International Publishing Mai 2018, 2018
ISBN 10: 3319811274 ISBN 13: 9783319811277
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 171,19
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores widely used seasonal adjustment methods and recent developments in real time trend-cycle estimation. It discusses in detail the properties and limitations of X12ARIMA, TRAMO-SEATS and STAMP - the main seasonal adjustment methods used by statistical agencies. Several real-world cases illustrate each method and real data examples can be followed throughout the text. The trend-cycle estimation is presented using nonparametric techniques based on moving averages, linear filters and reproducing kernel Hilbert spaces, taking recent advances into account. The book provides a systematical treatment of results that to date have been scattered throughout the literature. Seasonal adjustment and real time trend-cycle prediction play an essential part at all levels of activity in modern economies. They are used by governments to counteract cyclical recessions, by central banks to control inflation, by decision makers for better modeling and planning and by hospitals, manufacturers, builders, transportation, and consumers in general to decide on appropriate action. This book appeals to practitioners in government institutions, finance and business, macroeconomists, and other professionals who use economic data as well as academic researchers in time series analysis, seasonal adjustment methods, filtering and signal extraction. It is also useful for graduate and final-year undergraduate courses in econometrics and time series with a good understanding of linear regression and matrix algebra, as well as ARIMA modelling. 300 pp. Englisch.
Lingua: Inglese
Editore: Springer International Publishing Jun 2016, 2016
ISBN 10: 3319318209 ISBN 13: 9783319318202
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 171,19
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores widely used seasonal adjustment methods and recent developments in real time trend-cycle estimation. It discusses in detail the properties and limitations of X12ARIMA, TRAMO-SEATS and STAMP - the main seasonal adjustment methods used by statistical agencies. Several real-world cases illustrate each method and real data examples can be followed throughout the text. The trend-cycle estimation is presented using nonparametric techniques based on moving averages, linear filters and reproducing kernel Hilbert spaces, taking recent advances into account. The book provides a systematical treatment of results that to date have been scattered throughout the literature. Seasonal adjustment and real time trend-cycle prediction play an essential part at all levels of activity in modern economies. They are used by governments to counteract cyclical recessions, by central banks to control inflation, by decision makers for better modeling and planning and by hospitals, manufacturers, builders, transportation, and consumers in general to decide on appropriate action. This book appeals to practitioners in government institutions, finance and business, macroeconomists, and other professionals who use economic data as well as academic researchers in time series analysis, seasonal adjustment methods, filtering and signal extraction. It is also useful for graduate and final-year undergraduate courses in econometrics and time series with a good understanding of linear regression and matrix algebra, as well as ARIMA modelling. 300 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 215,49
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 218,29
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Da: Majestic Books, Hounslow, Regno Unito
EUR 255,68
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 299.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 265,10
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 299.