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Dagum, Estela Bee; Cholette, Pierre A. (Statistics Canada) - Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series - 9780387311029 - V9780387311029
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Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series

€ 133.46
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Description for Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series Paperback. Modern economies rely on time series. But before publication time series are subject to statistical adjustments and this is the first book to systematically deal with these time series data transformations. Regression-based models are emphasized because of their clarity and superior results. Series: Lecture Notes in Statistics. Num Pages: 424 pages, 101 black & white illustrations, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 233 x 157 x 23. Weight in Grams: 606.

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 ... Read more

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

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Product Details

Format
Paperback
Publication date
2006
Publisher
Springer-Verlag New York Inc. United States
Number of pages
424
Condition
New
Series
Lecture Notes in Statistics
Number of Pages
410
Place of Publication
New York, NY, United States
ISBN
9780387311029
SKU
V9780387311029
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series
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 "The book’s intended audience is students in graduate and final-year undergraduate courses in econometrics and time series analysis, who could use it as a textbook, as well as researchers and ... Read more

Goodreads reviews for Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series


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