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Benchmarking, Temporal Distribution, And Reconciliation Methods For Time Series (Lecture Notes In Statistics) - Couverture souple
Synopsis
Time series play a crucial role in modern economies at all levels of activity and are used by decision makers to plan for a better future. Before publication time series are subject to statistical adjustments and this is the first statistical book to systematically deal with the methods most often applied for such adjustments. Regression-based models are emphasized because of their clarity, ease of application, and superior results. Each topic is illustrated with real case examples. In order to facilitate understanding of their properties and limitations of the methods discussed a real data example is followed throughout the book.
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Présentation de l'éditeur
Time series play a crucial role in modern economies at all levels of activity and are used by decision makers to plan for a better future. Before publication time series are subject to statistical adjustments and this is the first statistical book to systematically deal with the methods most often applied for such adjustments. Regression-based models are emphasized because of their clarity, ease of application, and superior results. Each topic is illustrated with real case examples. In order to facilitate understanding of their properties and limitations of the methods discussed a real data example is followed throughout the book.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSpringer
- Date d'édition2006
- ISBN 10 0387311025
- ISBN 13 9780387311029
- ReliureBroché
- Langueanglais
- Nombre de pages430
- Coordonnées du fabricantnon disponible
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Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series (Lecture Notes in Statistics, 186)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series
Edité par
Springer New York, 2006
ISBN 10 : 0387311025
ISBN 13 : 9780387311029
Neuf
Kartoniert / Broschiert
Vendeur : moluna, Greven, Allemagne
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Kartoniert / Broschiert. Etat : New. First statistical book to systematically deal with these time series data transformationsFirst statistical book to systematically deal with these time series data transformationsTime series play a crucial role in modern economies at all le. N° de réf. du vendeur 458429063
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Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. pp. 428. N° de réf. du vendeur 26281244
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Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Etat : New. pp. 428 101 Illus. N° de réf. du vendeur 7599427
Quantité disponible : 1 disponible(s)
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Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series
Edité par
Springer-Verlag New York Inc., 2006
ISBN 10 : 0387311025
ISBN 13 : 9780387311029
Neuf
Paperback / softback
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 627. N° de réf. du vendeur C9780387311029
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Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series
impression à la demandeVendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Etat : New. PRINT ON DEMAND pp. 428. N° de réf. du vendeur 18281238
Quantité disponible : 4 disponible(s)
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Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series (Lecture Notes in Statistics, 186)
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Etat : New. N° de réf. du vendeur ABLIING23Feb2215580171806
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Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series
Edité par
Springer New York Mai 2006, 2006
ISBN 10 : 0387311025
ISBN 13 : 9780387311029
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware - In modern economies, time series play a crucial role at all levels of activity. They are used by decision makers to plan for a better future, by governments to promote prosperity, by central banks to control inflation, by unions to bargain for higher wages, by hospital, school boards, manufacturers, builders, transportation companies, and by consumers in general.A common misconception is that time series data originate from the direct and straightforward compilations of survey data, censuses, and administrative records. On the contrary, before publication time series are subject to statistical adjustments intended to facilitate analysis, increase efficiency, reduce bias, replace missing values, correct errors, and satisfy cross-sectional additivity constraints. Some of the most common adjustments are benchmarking, interpolation, temporal distribution, calendarization, and reconciliation.This book discusses the statistical methods most often applied for such adjustments, ranging from ad hoc procedures to regression-based models. The latter are emphasized, because of their clarity, ease of application, and superior results. Each topic is illustrated with many real case examples. In order to facilitate understanding of their properties and limitations of the methods discussed, a real data example, the Canada Total Retail Trade Series, is followed throughout the book.This book brings together the scattered literature on these topics and presents them using a consistent notation and a unifying view. The book will promote better procedures by large producers of time series, e.g. statistical agencies and central banks. Furthermore, knowing what adjustments are made to the data and what technique is used and how they affect the trend, the business cycles and seasonality of the series, will enable users to perform better modeling, prediction, analysis and planning.This book will prove useful to graduate students and final year undergraduate students of time series and econometrics, as well as researchers and practitioners in government institutions and business. From the reviews:'It is an excellent reference book for people working in this area.' B. Abraham for Short Book Reviews of the ISI, December 2006. N° de réf. du vendeur 9780387311029
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Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series (Lecture Notes in Statistics, 186)
Edité par
Springer, 2006
ISBN 10 : 0387311025
ISBN 13 : 9780387311029
Ancien ou d'occasion
paperback
Vendeur : HPB-Red, Dallas, TX, Etats-Unis
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paperback. Etat : 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! N° de réf. du vendeur S_416776544
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Image d'archives
Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series (Lecture Notes in Statistics)
Edité par
Springer, 2006
ISBN 10 : 0387311025
ISBN 13 : 9780387311029
Ancien ou d'occasion
Paperback
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
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Paperback. Etat : Like New. Like New. book. N° de réf. du vendeur ERICA77303873110256
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