Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series (Lecture Notes in Statistics)
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| Preise | 2011 | 2013 | 2014 | 2015 |
|---|---|---|---|---|
| Schnitt | € 72,58 | € 81,10 | € 102,89 | € 132,76 |
| Nachfrage |
1
Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series (Lecture Notes in Statistics) (2006)
EN PB USISBN: 9780387311029 bzw. 0387311025, in Englisch, 410 Seiten, 2006. Ausgabe, Springer, Taschenbuch, gebraucht.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, anybookltduk.
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., Paperback, Ausgabe: 2006, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2006-06-20, Studio: Springer, Verkaufsrang: 3650837.
Von Händler/Antiquariat, anybookltduk.
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., Paperback, Ausgabe: 2006, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2006-06-20, Studio: Springer, Verkaufsrang: 3650837.
2
Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series
EN NWISBN: 9780387311029 bzw. 0387311025, in Englisch, Springer New York, Springer New York, Springer New York, neu.
Lieferung aus: Vereinigte Staaten von Amerika, zzgl. Versandkosten, Free Shipping on eligible orders over $25, in-stock.
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 undergra.
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 undergra.
3
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Benchmarking, Temporal Distribution, Reconciliation Methods for Time Series (2015)
EN PB NWISBN: 9780387311029 bzw. 0387311025, in Englisch, SPRINGER VERLAG GMBH 01/06/2015, Taschenbuch, neu.
Von Händler/Antiquariat, Books2Anywhere [190245], Swindon, United Kingdom.
New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. This item is printed on demand.
New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. This item is printed on demand.
4
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Benchmarking, Temporal Distribution, Reconciliation Methods for Time Series (2014)
EN PB NWISBN: 9780387311029 bzw. 0387311025, in Englisch, SPRINGER VERLAG GMBH 01/07/2014, Taschenbuch, neu.
Von Händler/Antiquariat, Books2Anywhere [190245], Fairford, GLO, United Kingdom.
New Book. This item is printed on demand. Shipped from UK. This item is printed on demand.
New Book. This item is printed on demand. Shipped from UK. This item is printed on demand.
5
Symbolbild
Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series (2006)
EN PB USISBN: 9780387311029 bzw. 0387311025, in Englisch, Springer, Taschenbuch, gebraucht.
Von Händler/Antiquariat, Herb Tandree Philosophy Books [17426], Stroud, UK, United Kingdom.
Paperback, This listing is a new book, a title currently in-print which we order directly and immediately from the publisher.
Paperback, This listing is a new book, a title currently in-print which we order directly and immediately from the publisher.
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