Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series

Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series

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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.Error in level when using the fiscal year value as an estimate of the true calendar year value, under the indicated true ... In the United States, businesses may report on a 52-week basis and occasionally on a 53-week basis depending on theanbsp;...


Title:Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series
Author: Estela Bee Dagum, Pierre A. Cholette
Publisher:Springer Science & Business Media - 2006-09-23
ISBN-13:

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